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Tuesday, October 6
 

00:30 UTC

S102 - Gini-Weighted Risk Control in Adaptive Generative Augmentation
Tuesday October 6, 2026 00:30 - 01:00 UTC
Zoom Room #1
Generative data augmentation is widely used to address class imbalance by enriching minority classes with synthetic samples. Existing approaches typically employ a fixed augmentation strength across all classes, ignoring differences in class imbalance, data structure, and generative quality. We propose an adaptive augmentation framework that determines class-specific augmentation strengths using both class proportions and structural information measured through Gini correlation. This strategy allocates more synthetic data to underrepresented and weakly structured classes while limiting augmentation for well-represented classes.

We develop a theoretical framework showing that the resulting excess risk is controlled by a weighted combination of class-conditional Wasserstein discrepancies and Gini-based structural factors. We further establish consistency results and demonstrate that adaptive augmentation provides tighter control of risk distortion than fixed augmentation schemes.

Experiments on imbalanced classification datasets show consistent improvements in minority-class recall and macro-F1 performance, while empirical results closely match theoretical predictions. The proposed framework provides a principled, structure-aware foundation for generative data augmentation.
Speakers
avatar for Chathurika Abeykoon

Chathurika Abeykoon

Assistant professor of Mathematics and Statistics, Rhodes College
Chathurika Abeykoon is an Assistant Professor of Statistics at Rhodes College, Memphis, TN. Dr. Abeykoon received her Ph.D. in Mathematics with a concentration in Statistics from the University of Mississippi in 2023. Her research lies at the intersection of Mathematics, Statistics... Read More →
Organizers
avatar for Chathurika Abeykoon

Chathurika Abeykoon

Assistant professor of Mathematics and Statistics, Rhodes College
Chathurika Abeykoon is an Assistant Professor of Statistics at Rhodes College, Memphis, TN. Dr. Abeykoon received her Ph.D. in Mathematics with a concentration in Statistics from the University of Mississippi in 2023. Her research lies at the intersection of Mathematics, Statistics... Read More →
Tuesday October 6, 2026 00:30 - 01:00 UTC
Zoom Room #1
  Plenary Talk, Technical Statistical Session

00:30 UTC

S201- Vision-Language Models and the Harms of Covert Sexualization
Tuesday October 6, 2026 00:30 - 01:00 UTC
Zoom Room #2
Vision-language models (VLMs) increasingly mediate how bodies are described, moderated, and rendered in online spaces through content moderation, AI-generated images and videos, and descriptions of real bodies. Prior work establishes that VLMs sexually objectify bodies that are partially clothed more than fully clothed ones, and that plus-size bodies — particularly those belonging to women and AFAB persons — are disproportionately censored on social media platforms for being “inappropriate.” However, scholars lack the tools to detect when a model *objectifies* a body, rather than merely describing it, and whether this behavior differs across body *shapes*, rather than just body sizes. This talk describes a study in which we investigate these phenomena using swimwear try-on images matched across body morphology, comparing high-contrast silhouettes (i.e., a smaller waist relative to hips and bust) against lower-contrast silhouettes under identical prompting conditions. We ask whether VLMs describe these bodies differently despite equivalent context and whether unwanted objectification or descriptive drift disproportionately burdens those with high-contrast bodies, with a focus on covert (i.e., safety guardrail compliant) sexualization. By making the harms of these phenomena visible and measurable, this work gives researchers and auditors the ability to hold systems accountable when they objectify or censor women and AFAB persons based on their appearance.
Speakers
avatar for Maimuna Majumder

Maimuna Majumder

Harvard Medical School & Boston Children's Hospital
Dr. Maimuna (Maia) Majumder (she/they), MPH, PhD (MIT '18) is an Assistant Professor and Inaugural Peter Szolovits Distinguished Scholar in the Computational Health Informatics Program at Harvard Medical School and Boston Children’s Hospital. She is a computational epidemiologist... Read More →
Organizers
avatar for Maimuna Majumder

Maimuna Majumder

Harvard Medical School & Boston Children's Hospital
Dr. Maimuna (Maia) Majumder (she/they), MPH, PhD (MIT '18) is an Assistant Professor and Inaugural Peter Szolovits Distinguished Scholar in the Computational Health Informatics Program at Harvard Medical School and Boston Children’s Hospital. She is a computational epidemiologist... Read More →
Tuesday October 6, 2026 00:30 - 01:00 UTC
Zoom Room #2
  Plenary Talk, Technical Statistical Session

01:00 UTC

K1 - A Statistician in the Loop: Building a Career in Trustworthy AI
Tuesday October 6, 2026 01:00 - 02:00 UTC
Zoom Room #1
Statistics provides tools for answering questions that are central to building trustworthy AI: What works? What fails? How certain are we? In this talk, I will discuss my path from studying statistics to conducting research as a data scientist and now working full time in AI safety. I will share examples of how statistical thinking can support this work, including deciding what to measure, uncovering failure modes, quantifying uncertainty, and connecting evidence to real decisions. I hope to show that many paths lead into this field and that statisticians and data scientists have important skills to bring to the challenge of building trustworthy AI.
Speakers
avatar for Emily Hadley

Emily Hadley

Quantitative Threat Forecasting Analyst, OpenAI
Emily Hadley is a Quantitative Threat Forecasting Analyst at OpenAI, where she works to identify, understand, and forecast risks related to AI. Previously, she was a Security Researcher on the Microsoft AI Red Team and a Senior Research Data Scientist at RTI International. Emily holds... Read More →
Organizers
avatar for IDWSDS Program Committee
Tuesday October 6, 2026 01:00 - 02:00 UTC
Zoom Room #1
  Keynote Session

04:00 UTC

S203 - AI and Data Science 1
Tuesday October 6, 2026 04:00 - 05:00 UTC
Zoom Room #2
Who Gets Heard? Investigating Accent and Gender Disparities in Automatic Speech Recognition | COMPARATIVE ANALYSIS OF FEATURE EXTRACTION APPROACHES IN A SINGLE-CHANNEL MULTISENSORY SETTING | Bridging Data Silos: A Two-Step Unsupervised Approach to Record Linkage | Mining the Foundations of Truth: Extracting Structured Knowledge Graphs from Unstructured Classical Texts
Speakers
avatar for Fouziah Md Yassin

Fouziah Md Yassin

Universiti Malaysia Sabah
Fouziah Md. Yassin is a lecturer in the field of Electronics and Communication Engineering at Universiti Malaysia Sabah (UMS). She obtained her Master of Engineering in Electronic and Communication Engineering from the University of York, United Kingdom. Her research interests include... Read More →
avatar for Tisha Prasad

Tisha Prasad

STEM4Change
Tisha Prasad is the co-founder and co-president of STEM4Change, a nonprofit organization dedicated to expanding access to STEM education by teaching students foundational concepts like coding. She also serves as Head of Web Development at VolunteerConnect, where she leads the development... Read More →
avatar for Zaturrawiah Ali Omar

Zaturrawiah Ali Omar

Universiti Malaysia Sabah
Zaturrawiah Ali Omar is a lecturer at Universiti Malaysia Sabah (UMS) and a PhD candidate at Universiti Kebangsaan Malaysia (UKM), where her research focuses on record linkage, machine learning, and road traffic injury surveillance in Malaysia. Her work centres on using the Unsupervised... Read More →
avatar for Norhafiza Hamzah

Norhafiza Hamzah

UMS
Norhafiza is a lecturer and researcher at Universiti Malaysia Sabah, developing knowledge graph and machine learning frameworks for fact-checking religious misinformation on social media. She teaches courses in Artificial Intelligence, Machine Learning, and Computer Science courses... Read More →
Organizers
avatar for IDWSDS Program Committee
S203 Abstracts pdf
Tuesday October 6, 2026 04:00 - 05:00 UTC
Zoom Room #2
  Contributed Session, Technical Statistical Session, Other

05:00 UTC

S106 - Statistical Methods and Applications 1
Tuesday October 6, 2026 05:00 - 06:00 UTC
Zoom Room #1
Refining a Two-Stage Pipeline for Gene-by-Environment Interaction Discovery: Random-Forest Screening Followed by SOIL-Based Prioritization | Mapping Inequality: Women Statisticians and the Settlement House Movement | Precision by Design: A Transferable Framework for Sampling Optimisation in Hierarchical Capture-Recapture|How Biostatistics Research Experience Enriches the Pre-Medical Journey
Speakers
avatar for Su Na Chin

Su Na Chin

Universiti Malaysia Sabah, Malaysia
Dr. Chin Su Na is a statistician and Lecturer in Statistics at the Faculty of Science and Technology, Universiti Malaysia Sabah, Malaysia. Her research focuses on developing statistical methodology for efficient sampling design and population estimation. She received her PhD in Mathematical... Read More →
avatar for Kakon Datta

Kakon Datta

University of Kentucky
Kakon Datta is a Ph.D. student in the Department of Statistics at the University of Kentucky. She completed her master’s degree at Miami University, Ohio, USA in 2024. Her research interests include high-dimensional data analysis, variable selection, sufficient variable selection... Read More →
avatar for Tisha Prasad

Tisha Prasad

STEM4Change
Tisha Prasad is the co-founder and co-president of STEM4Change, a nonprofit organization dedicated to expanding access to STEM education by teaching students foundational concepts like coding. She also serves as Head of Web Development at VolunteerConnect, where she leads the development... Read More →
avatar for Kevin Zou

Kevin Zou

University of Central Florida
Kevin Zou is an undergraduate student majoring in Health Sciences (B.S.) on the Pre-Clinical Track at the University of Central Florida (Class of 2029). He is an Undergraduate Researcher in Dr. Julia Soulakova's biostatistics research team, where his work explores public health disparities... Read More →
Organizers
avatar for IDWSDS Program Committee
S106 Abstracts pdf
Tuesday October 6, 2026 05:00 - 06:00 UTC
Zoom Room #1
  Contributed Session, Technical Statistical Session, History of Women Statisticians Session, Career or Professional Development Session

08:00 UTC

S304 - Education and Leadership 1
Tuesday October 6, 2026 08:00 - 09:00 UTC
Zoom Room #3
A Bayesian satellite turbidity calibration algorithm framework with a focus on the Great Barrier Reef, Australia | A Statistical Framework for Educational Analytics Using Learning Management System Data: A Data-Driven Approach to Improving Student Learning | Implementing the ADAPT Model: Measuring Fidelity and Translating Research into Instructor Support | Implementation of Machine Learning Techniques for analyzing Autism Spectrum Disorder children through Art Emotion Extraction
Speakers
avatar for Nasim Sadra

Nasim Sadra

PhD Candidate, Massey University
I am a PhD candidate in New Zealand with a background in Civil Engineering. I later moved into remote sensing and data science, developing an interest in using these tools to better understand environmental processes. My current research focuses on satellite remote sensing and statistical... Read More →
avatar for Abinaya Nagamuthu

Abinaya Nagamuthu

Senior Lecturer
I am a Senior Lecturer in Statistics at IBSUniversity in Papua New Guinea and an Adjunct Lecturer at Southern Cross University with a strong academic background in statistics, business analytics, and econometrics. I hold an M.Phil. in Statistics and have completed a professional certification... Read More →
avatar for Laura Short

Laura Short

North Carolina State University
Laurie Short is a third-year PhD student in the Department of STEM Education at North Carolina State University. Her research focuses on college-level mathematics education, with a specific interest in the preparation of mathematics graduate teaching assistants. She has also researched... Read More →
avatar for Vijayalakshmi C

Vijayalakshmi C

Professor, Department of Statistics and Applied Mathematics,Central University of Tamil Nadu,Thiruvarur
Professor & Head in the Department of Statistics and Applied Mathematics, Central University of Tamil Nadu. The teaching milestone records 25 years and 2 years industry. Published 136 research articles in journals with high IF and 79 papers in conference proceedings. The Google scholar... Read More →
Organizers
avatar for IDWSDS Program Committee
S303 Abstracts pdf
Tuesday October 6, 2026 08:00 - 09:00 UTC
Zoom Room #3
  Contributed Session, Technical Statistical Session, Other

09:00 UTC

S206 - Beyond Simulation: Benchmarking for Method Comparison in Statistics and Machine Learning
Tuesday October 6, 2026 09:00 - 09:30 UTC
Zoom Room #2
When initiating a statistical or machine learning analysis, one of the first and most consequential questions is: which method should be used for a given dataset? Traditional approaches for comparing methods include theoretical derivations and data simulation studies, which provide insight into method performance under controlled conditions. However, these approaches may not fully reflect the complexity of real-world data. Benchmarking—systematic comparison of methods across many real datasets—offers a complementary approach that can improve generalizability and provide practical guidance. Despite its common use in computer science, benchmarking remains underutilized in statistical methodology as new methods continue to emerge.

In this talk, I will discuss benchmarking in the context of statistical and machine learning research and contrast it with theory and simulation. I will outline key principles for conducting rigorous benchmarking studies and illustrate them using two case studies: benchmarking random forest variable selection methods for categorical and continuous outcomes and comparing methods for time-to-event data using the mlr3 framework. Together, these examples demonstrate how benchmarking can enhance scientific rigor, provide practical guidance for method selection, and support more transparent and reproducible methodological research.
Speakers
avatar for Jaime Speiser

Jaime Speiser

Associate Professor of Biostatistics and Data Science, Wake Forest University School of Medicine
Dr. Speiser is a biostatistician focused on prediction modeling with applications in medicine. Her work involves developing novel machine learning methodology for prediction modeling, providing guidance on best practices for developing prediction models, and collaborating with medical... Read More →
Organizers
avatar for Jaime Speiser

Jaime Speiser

Associate Professor of Biostatistics and Data Science, Wake Forest University School of Medicine
Dr. Speiser is a biostatistician focused on prediction modeling with applications in medicine. Her work involves developing novel machine learning methodology for prediction modeling, providing guidance on best practices for developing prediction models, and collaborating with medical... Read More →
Tuesday October 6, 2026 09:00 - 09:30 UTC
Zoom Room #2
  Plenary Talk, Technical Statistical Session

10:00 UTC

S402 - Selected Topics in Statistical Methods and Applications
Tuesday October 6, 2026 10:00 - 12:00 UTC
Zoom Room #4
Beyond the Average: Random Slope Models for Revealing Territorial and Gender Inequalities | Randomization Inference on Policy Assignments | Becker’s models for mixture experiments: An A-optimal approach | Inference for GMANOVA model for Volatile Data
Speakers
avatar for Naomi Diz Rosales

Naomi Diz Rosales

PhD Student in Statistics, Universidade da Coruña
I hold a PhD in Statistics from the Universidade da Coruña (UDC), where my research focused on the development of mixed models with random slopes for Small Area Estimation. My work combines statistical methodology with applications to socioeconomic and public health challenges, including... Read More →
avatar for EunYi Chung

EunYi Chung

University of Illinois at Urbana-Champaign
She is an Associate Professor of Economics at the University of Illinois Urbana-Champaign, specializing in econometric theory. Her research focuses on developing improved methods of statistical inference for evaluating the causal effects of policy interventions using both experimental... Read More →
avatar for Bushra Husain

Bushra Husain

ALIGARH MUSLIM UNIVERSITY, ALIGARH, U.P., INDIA
Bushra Husain, Professor is the Chairperson of Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, U.P., India and has been working as Faculty of Statistics at Women's College since 2003. She has obtained B.Sc., M.Sc., M.Phil., and Ph.D. in Statistics... Read More →
avatar for Sudeepta Pal

Sudeepta Pal

PhD Scholar at IIT Hyderabad
I am currently pursuing my PhD in Statistics at IIT Hyderabad, where I also work as a Teaching Assistant. My research mainly focuses on statistical theory, multivariate analysis, and computational statistics. I cleared two of India's toughest competitive exams with high ranks, securing... Read More →
Organizers
avatar for IDWSDS Program Committee
S402 Abstracts pdf
Tuesday October 6, 2026 10:00 - 12:00 UTC
Zoom Room #4
  Contributed Session, Technical Statistical Session

12:00 UTC

S403 - Change point detection and its applications
Tuesday October 6, 2026 12:00 - 13:00 UTC
Zoom Room #4
Change point detection has long been an active and important area of statistical research because structural changes frequently arise in data collected over time or across different conditions. Detecting these changes helps researchers better understand complex processes and make more informed decisions in fields such as public health, finance, genomics, environmental science, manufacturing, and engineering, where the ability to detect shifts in trends, variability, or dependence structures can provide valuable insights into complex systems. As the volume and complexity of modern data continue to grow, the development of robust and efficient change point techniques remains a significant research challenge and opportunity. This invited session brings together researchers from three countries to present new methods and real-world applications of change point analysis. The session will highlight recent advances in the field, encourage international collaboration, and showcase the broad impact of change point research across diverse disciplines.
Speakers
avatar for Rebecca Killick

Rebecca Killick

Clemenson University
Rebecca Killick is Associate Director of Research in Mathematical and Statistical Sciences at Clemson University. Dr. Killick received a PhD in Statistics from Lancaster University, where until 2026, held a Professor and Director of Research positions. In 2019 Dr. Killick was the... Read More →
avatar for Kun Liu

Kun Liu

JPMorgan Chase & Company
Kun Liu is a Vice President and Quant Modeling Lead at JPMorgan Chase with expertise in AI, machine learning, credit risk, fraud detection, and causal inference. He holds a Ph.D. in Statistics from Georgia Tech and has over eight years of experience developing and deploying advanced... Read More →
avatar for Meenu Rani

Meenu Rani

Indian Institute of Technology Ropar
Meenu Rani is a Ph.D. student in the Department of Mathematics at the Indian Institute of Technology Ropar. Her doctoral research focuses on change point detection, including both offline and online settings. Her work has primarily involved applications to financial data.
avatar for Ayten Yiğiter

Ayten Yiğiter

Hacettepe University
Dr. Yiğiter received the B.S., M.S., and Ph.D. degrees in statistics from Hacettepe University, Ankara, Türkiye, in 1995, 2000 and 2006, respectively. In 2007, she was a Visiting Scholar with the University of Missouri-Kansas City, Kansas City, MO, USA. She is currently working... Read More →
Chairs/Hosts
JC
Organizers
JC
S403 Abstracts pdf
Tuesday October 6, 2026 12:00 - 13:00 UTC
Zoom Room #4
  Invited Session, Technical Statistical Session

12:30 UTC

S113 - Navigating Data Sharing in Medical Research
Tuesday October 6, 2026 12:30 - 13:00 UTC
Zoom Room #1
Open science is pivotal in advancing medical research by promoting accessibility and collaboration among researchers globally, and biostatisticians play a critical role in supporting these efforts. Shared datasets and software code, particularly those developed using time-intensive algorithms, are fundamental for fostering replicability and improving research efficiency for other scientists. Open access publications accompanied by publicly available data and code also help reduce disparities in knowledge access by making research materials available to researchers who might otherwise lack access. This presentation will explore data sharing principles and experiences, highlighting two recent studies: one on smoking behaviors in the United States and another on the association between caregiving and psychological well-being among Florida college students. The resulting datasets were shared under specific terms of use via Harvard Dataverse to facilitate further medical research. In addition, a subset of the tobacco use data and sample code were shared through the Resources Portal of the Teaching of Statistics in the Health Sciences Section of the American Statistical Association to support the teaching of survey methods. The presentation is intended for students, researchers, and practitioners interested in data sharing and open science.
Speakers
avatar for Julia Soulakova

Julia Soulakova

University of Central Florida College of Medicine
Julia Soulakova, Ph.D., is a biostatistician and Professor of Medicine in the Department of Population Health Sciences at the University of Central Florida College of Medicine. Her research interests include statistical methodology with applications to behavioral medicine and social... Read More →
Organizers
avatar for Julia Soulakova

Julia Soulakova

University of Central Florida College of Medicine
Julia Soulakova, Ph.D., is a biostatistician and Professor of Medicine in the Department of Population Health Sciences at the University of Central Florida College of Medicine. Her research interests include statistical methodology with applications to behavioral medicine and social... Read More →
Tuesday October 6, 2026 12:30 - 13:00 UTC
Zoom Room #1
  Plenary Talk, Career or Professional Development Session

13:00 UTC

S502 - Additional Topics in AI and Data Science 2
Tuesday October 6, 2026 13:00 - 14:00 UTC
Zoom Room #5
Developing and Using Data Visualization Requirements Gathering Processes for Clients | Mapping Global Open-Source Collaboration: A Data Science Approach to Measuring International Software Development | Multimodal AI Fusion for Better Alzheimer Detection | Survival-Informed Digital Twins for Glioblastoma: Integrating cBioPortal Data, Statistical Learning, and Nonlinear PDEs
Speakers
avatar for Chipo Zidana

Chipo Zidana

NUST
Dr. Chipo Zidana is a senior statistician, bio-statistical consultant, and data integration specialist with over 15 years of experience bridging advanced analytical modeling with national policy frameworks. She holds a PhD in Statistics from Çukurova University, specializing in mixture... Read More →
avatar for Adriana Perez

Adriana Perez

The University of Texas Health Science Center at Houston
Professor at the Department of Biostatistics and Data Science. Dr. Pérez is engaged in a wide range of research projects: theoretical model evaluation accounting for imputation uncertainty; fitting complex data; analysis of cluster-randomized community trials; clinical trials; analysis... Read More →
avatar for Sarah Glidden

Sarah Glidden

Westat
Sarah Glidden is a research and data visualization analyst. She specializes in dashboard development for a range of external clients using Tableau.
avatar for Rashi Saluja

Rashi Saluja

Westat
Rashi is a Data Scientist at Westat, where she works across a broad portfolio of research projects spanning survey methodology, public health, applied machine learning, and artificial intelligence. Her recent work includes network analysis of open-source software collaboration, as... Read More →
Organizers
avatar for IDWSDS Program Committee
S502 Abstracts pdf
Tuesday October 6, 2026 13:00 - 14:00 UTC
Zoom Room #5
  Contributed Session, Technical Statistical Session, History of Women Statisticians Session, Career or Professional Development Session, Other

13:00 UTC

S308 - Pedagogy with Purpose: Tailoring your Statistics Classroom for Specific Audiences
Tuesday October 6, 2026 13:00 - 14:00 UTC
Zoom Room #3
Given the wide variety of opportunities available for learners to gain expertise in statistics and data science, students enter the classroom with different needs and goals. Instructors balance standardized learning outcomes with individualized support, and a happy medium is not always easy to achieve. In this session, sponsored by the Caucus for Women in Statistics and Data Science, we feature a diverse group of educators whose trainees range from high school students just learning first principles to clinicians looking to build biostatistical expertise. The speakers will present their experiences customizing their courses to meet students where they are. First, Dr. Nicole Dalzell will share tips for structuring a first-year statistics course that builds a strong foundation for success in college. Next, Ms. Ashley Mullan will discuss lessons learned from designing a weeklong introductory summer course for high school students. Then, Dr. Taylor Krajewski will describe approaches for adapting communication and content while maintaining rigor, engagement, and accessibility. Finally, Dr. Jamie Joseph will outline considerations for adapting a biostatistics seminar series to provide support for both medical licensure candidates and emerging investigators. The four speakers span a wide array of educational settings, making the session interesting to a general audience. However, all four showcase how thoughtful education can support all members of the global statistics community.
Speakers
avatar for Ashley Mullan

Ashley Mullan

Vanderbilt University
Ashley Mullan is a PhD student and research assistant in the Department of Biostatistics at Vanderbilt University. She earned her MS in Statistics from Wake Forest University. Her research interests include both methods development for measurement error and missing data and their... Read More →
avatar for Jamie Joseph

Jamie Joseph

Henry Ford Health
Dr. Jamie Joseph is a faculty biostatistician in the Department of Public Health Sciences at Henry Ford Health with a joint appointment as an Assistant Professor of Research at Michigan State University. She earned her PhD in Biostatistics from Vanderbilt University in 2024. Currently... Read More →
avatar for Nicole Dalzell

Nicole Dalzell

Wake Forest University
Dr. Nicole Dalzell is an Associate Teaching Professor in the Department of Statistical Sciences at Wake Forest University. She loves developing new courses and constantly thinking about how to make her teaching materials and style work better for students. She also enjoys mentoring... Read More →
avatar for Taylor Krajewski

Taylor Krajewski

Duke University
Dr. Taylor Krajewski is an Assistant Professor in the Department of Biostatistics & Bioinformatics and the Department of Population Health Sciences at the Duke University School of Medicine and a member of the Duke Clinical Research Institute. Her research focuses on causal inference... Read More →
Chairs/Hosts
JR
Organizers
avatar for Ashley Mullan

Ashley Mullan

Vanderbilt University
Ashley Mullan is a PhD student and research assistant in the Department of Biostatistics at Vanderbilt University. She earned her MS in Statistics from Wake Forest University. Her research interests include both methods development for measurement error and missing data and their... Read More →
S307 Abstracts pdf
Tuesday October 6, 2026 13:00 - 14:00 UTC
Zoom Room #3
  Invited Session, Career or Professional Development Session

14:00 UTC

S503 - Selected Topics in Statistics
Tuesday October 6, 2026 14:00 - 15:00 UTC
Zoom Room #5
A Bayesian satellite turbidity calibration algorithm framework with a focus on the Great Barrier Reef, Australia | A Statistical Assessment of Urban–Rural Differences in HIV Outcomes Following ART Introduction in Kenya, 2003–2008 | Leveraging Forum Theatre to Enhance Communication and Confidence in Biostatistical Practice | Motivating young adults to pursue (and hold) the careers of their choice
Speakers
avatar for Tanya Sun

Tanya Sun

UC Berkeley
Tanya Sun is a student at the University of California, Berkeley, pursuing a BA in statistics and applied mathematics. Her research focuses on health disparities, infectious disease epidemiology, and the application of statistical methods to population health questions. Tanya is interested... Read More →
avatar for Adriana Perez

Adriana Perez

The University of Texas Health Science Center at Houston
Professor at the Department of Biostatistics and Data Science. Dr. Pérez is engaged in a wide range of research projects: theoretical model evaluation accounting for imputation uncertainty; fitting complex data; analysis of cluster-randomized community trials; clinical trials; analysis... Read More →
avatar for Amanda Young

Amanda Young

Geisinger
Amanda Young, MS, is Director of the Biostatistics Core at Geisinger, where she leads a team of MS- and PhD-level biostatisticians supporting clinical, epidemiologic, and translational research across the clinical enterprise and the School of Health Sciences. She brings deep expertise... Read More →
avatar for Haritini Tsangari

Haritini Tsangari

University of Nicosia
Haritini Tsangari is a Professor in the School of Business at the University of Nicosia, Cyprus. She has a BSc in Mathematics and Statistics (University of Cyprus), an MSc and a PhD in Statistics (Pennsylvania State University, USA). She has published more than 150 high-impact journal... Read More →
Organizers
avatar for IDWSDS Program Committee
S503 Abstracts pdf
Tuesday October 6, 2026 14:00 - 15:00 UTC
Zoom Room #5
  Contributed Session, Other, Career or Professional Development Session, Technical Statistical Session

14:00 UTC

S212 - Career Perspectives from Industry in the U.S.
Tuesday October 6, 2026 14:00 - 15:00 UTC
Zoom Room #2
This session will feature three 10-minute presentations from women working across industry sectors, including transportation, pharmaceuticals, and government research. Speakers will share insights into their career paths, current roles, and day-to-day responsibilities. The presentations will be followed by a moderated discussion exploring key topics such as career progression, mentorship, opportunities for growth, and leadership, offering attendees practical perspectives on navigating and advancing in the field of statistics and data science.
Speakers
avatar for Sonali Garg

Sonali Garg

Xilio Therapeutics
Sonali Garg is an accomplished statistical programming leader with nearly 20 years of experience across the pharma, biotech, and CRO industries. She holds a graduate degree in biostatistics and an undergraduate degree in statistics.

Throughout her career, Sonali has guided numerous compounds through complex global submission, approval, and post-approval processes. She has prepared multiple successful submissions to the FDA and EMA, navigated regulatory audits, and worked directly with regulators and senior management... Read More →
avatar for Christian Douglas

Christian Douglas

RTI International
Dr. Christian E. Douglas is a Senior Research Statistician at RTI International with more than 14 years of experience supporting clinical trials and large-scale observational studies. Her expertise includes longitudinal data analysis, adaptive trial design, power and sample size estimation... Read More →
avatar for Ashley Asmus

Ashley Asmus

RSG Inc.
Ashley Asmus is a researcher, project manager, and data scientist with over nine years of experience working with complex datasets, including six years focused on travel survey data in both public and private sectors. Prior to joining RSG Inc., she served as lead researcher and deputy... Read More →
Chairs/Hosts
avatar for Sophie Salem

Sophie Salem

Statistician, RTI International
Sophie Salem is an early career statistician at RTI International. She provides statistical support on various large-scale federally funded surveys, including the National Health and Nutrition Examination Survey and the National Dementia Workforce Study. She has undergraduate research... Read More →
Organizers
avatar for Cynthia Bland

Cynthia Bland

Past Past President, CWS; RTI
I'm the Past Past President of CWS and also a survey statistician and center director at RTI International. I helped start a CWS mentoring initiative called Flash Mentoring and I support our emergent needs mentoring. Both require CWS membership, which is free to students. Please consider... Read More →
Tuesday October 6, 2026 14:00 - 15:00 UTC
Zoom Room #2
  Invited Panel, Career or Professional Development Session

14:00 UTC

S309 - Modern Frontiers in Complex Data Analysis: Scalable Bayesian Methods and Dynamic Online Estimation
Tuesday October 6, 2026 14:00 - 15:00 UTC
Zoom Room #3
This session brings together pioneering research that tackles the dual challenges of complexity and scalability in modern statistics and data science. The presentations feature cutting-edge developments in Bayesian hypothesis testing, discrete choice modeling, and streaming spatial data analysis over complex domains. The session begins with two complementary talks introducing highly efficient, closed-form Bayesian alternatives to classical multivariate and random effects testing frameworks. It then transitions to an innovative Bayesian best-worst choice model that utilizes Integrated Nested Laplace Approximation (INLA) for complex preference data analysis. Concluding the discussion is a state-of-the-art online nonparametric estimation of spatially varying coefficient models for streaming spatial data using dynamic bivariate penalized splines over triangulations. Together, these talks highlight the vital role of advanced computational methodologies, spanning objective Bayes, deterministic approximations, and sequential updating algorithms, in achieving rigorous inference and extracting robust insights from complex data structures across diverse scientific domains.
Speakers
avatar for Mai Dao

Mai Dao

Assistant Professor, Wichita State University
Dr. Mai Dao is an Assistant Professor of Statistics in the Department of Mathematics, Statistics, and Physics at Wichita State University. She obtained her Ph.D. from Texas Tech University under the supervision of Professors Min Wang (The University of Texas at San Antonio) and Souparno... Read More →
avatar for Zhuanzhuan Ma

Zhuanzhuan Ma

The University of Texas Rio Grande Valley
Dr. Zhuanzhuan Ma is an Assistant Professor of Statistics in the School of Mathematical and Statistical Sciences at the University of Texas Rio Grande Valley. She earned her Ph.D. in Statistics from Texas Tech University in 2022. Her research interests include Bayesian statistics... Read More →
avatar for Nadeesha Jayaweera

Nadeesha Jayaweera

Assistant Professor, University of Akron
Dr. Nadeesha Jayaweera is an Assistant Professor in the Department of Statistics at the University of Akron. She received her Ph.D. in Statistics from Texas Tech University in 2022 and previously held a postdoctoral research position at Worcester Polytechnic Institute. Her research... Read More →
avatar for Jingru Mu

Jingru Mu

Kansas State University
Dr. Jingru Mu is an Associate Professor in the Department of Statistics at Kansas State University. Her research focuses on developing flexible and computationally efficient statistical methods for complex, large-scale, and spatio-temporal data. Her interests include nonparametric... Read More →
Chairs/Hosts
avatar for Mai Dao

Mai Dao

Assistant Professor, Wichita State University
Dr. Mai Dao is an Assistant Professor of Statistics in the Department of Mathematics, Statistics, and Physics at Wichita State University. She obtained her Ph.D. from Texas Tech University under the supervision of Professors Min Wang (The University of Texas at San Antonio) and Souparno... Read More →
Organizers
avatar for Mai Dao

Mai Dao

Assistant Professor, Wichita State University
Dr. Mai Dao is an Assistant Professor of Statistics in the Department of Mathematics, Statistics, and Physics at Wichita State University. She obtained her Ph.D. from Texas Tech University under the supervision of Professors Min Wang (The University of Texas at San Antonio) and Souparno... Read More →
S308 Abstracts pdf
Tuesday October 6, 2026 14:00 - 15:00 UTC
Zoom Room #3
  Invited Session, Technical Statistical Session

14:30 UTC

S117 - Privacy Doesn't End at the Match: Querying PPRL Data in Practice
Tuesday October 6, 2026 14:30 - 15:00 UTC
Zoom Room #1
Privacy-preserving record linkage (PPRL) has a rich methodological literature on encoding, matching, and cryptographic guarantees — but comparatively little guidance exists on what happens after the match: how do researchers actually access, query, and analyze the linked data that results? This presentation addresses that gap directly, walking through real-world architectures used by statistical agencies, such as the U.S. Census Bureau's linkage key infrastructure and UK Trusted Research Environments, to control researcher access to linked data. We’ll cover how to handle potential uncertainty when analyzing linked data, such as producing confidence tiers, adjusting thresholds, and a novel approach to clerical review within the PPRL system. We’ll also walk through concrete querying structures such as linkage maps and secure enclaves and will explore examples of queries and their outputs. Attendees will leave with a clearer picture of the access-and-analysis landscape for linked data, practical considerations for designing their own linkage projects, and a better sense of how privacy shapes analysis.
Speakers
avatar for Emily Gentles

Emily Gentles

RTI International
Emily Gentles is an expert in data linkage, including entity resolution and privacy-preserving record linkage (PPRL). Ms. Gentles has researched efficient PPRL methods; worked to develop secure linkage systems; and designed innovative record linkage procedures, including manual review... Read More →
Organizers
avatar for Emily Gentles

Emily Gentles

RTI International
Emily Gentles is an expert in data linkage, including entity resolution and privacy-preserving record linkage (PPRL). Ms. Gentles has researched efficient PPRL methods; worked to develop secure linkage systems; and designed innovative record linkage procedures, including manual review... Read More →
Tuesday October 6, 2026 14:30 - 15:00 UTC
Zoom Room #1
  Plenary Talk, Technical Statistical Session

15:00 UTC

S406 - Selected Topics in AI and Data Science
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #4
Predictive Modeling for Irregular and Unbalanced Longitudinal Data: Application to Bariatric Surgery Outcomes | Big Data Is Not Neutral: Hidden Biases in Electronic Health Record Research | Spatio-Temporal Air Quality Risk Modelling | Interpretable Machine Learning-Based Variable Selection under Missing Data with the Feasible Solution Algorithm
Speakers
avatar for Kristina Vatcheva

Kristina Vatcheva

United States, University of Texas Rio Grande Valley
Dr. Kristina P. Vatcheva is an Associate Professor in the School of Mathematical and Statistical Sciences at the University of Texas Rio Grande Valley (UTRGV) College of Sciences. She has training and experience in mathematics, computer programming/application development, biostatistics... Read More →
avatar for Sima Sharghi

Sima Sharghi

Akron Children's Hospital
Dr. Sima Sharghi is a Senior Statistician and researcher with expertise in causal inference, Bayesian statistics, real-world evidence, electronic health record analytics, and predictive modeling in healthcare. She holds a PhD in Statistics and has extensive experience collaborating... Read More →
avatar for María Bugallo

María Bugallo

University of A Coruña
María Bugallo is a Juan de la Cierva postdoctoral researcher at the University of A Coruña working in methodological statistics, with a focus on small area estimation and robust statistical modelling. She completed her PhD in Statistics at the Miguel Hernández University of Elche... Read More →
avatar for Maliha Mehnaz Mitu

Maliha Mehnaz Mitu

University of Kentucky
Maliha Mehnaz Mitu is a PhD Candidate in Biostatistics at the University of Kentucky whose research focuses on methodological challenges in interpretable machine learning and Artificial Intelligence for healthcare. Her work integrates statistical learning, missing data methodology... Read More →
Organizers
avatar for IDWSDS Program Committee
S406 Abstracts pdf
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #4
  Contributed Session, Technical Statistical Session

15:00 UTC

S504 - Additional Topics in Health and Biostatistics
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #5
Correcting Bias from Covariate-Dependent Censoring in Survival Disparity Decomposition | End-of-Life Healthcare Utilization among Medicare Beneficiaries with Parkinson's Disease- Alzheimer's Disease-Related Dementia at USA Academic Movement Disorders Centers: A 2019 Pre-Intervention Assessment | End-of-Life Healthcare Utilization among Medicare Beneficiaries with Parkinson’s Disease Dementia at USA Academic Movement Disorders Centers: A 2019 Pre-Intervention Assessment | Physical Activity Patterns by Age Among U.S. Adults: Associations with Chronic Conditions, Health Behaviors, and Health-Related Quality of Life
Speakers
avatar for Adriana Perez

Adriana Perez

The University of Texas Health Science Center at Houston
Professor at the Department of Biostatistics and Data Science. Dr. Pérez is engaged in a wide range of research projects: theoretical model evaluation accounting for imputation uncertainty; fitting complex data; analysis of cluster-randomized community trials; clinical trials; analysis... Read More →
avatar for Gloria Oppong

Gloria Oppong

Graduate Student(Research Assistant), university of Tennessee at Chattanooga
Gloria Oppong is an incoming Ph.D. student in Biostatistics at Florida State University. She recently earned her M.S. in Mathematics with a concentration in Applied Statistics from the University of Tennessee at Chattanooga. Her research focuses on public health statistics, epidemiology... Read More →
avatar for Sabrina Zhang

Sabrina Zhang

Westat
Sabrina Zhang has been working as a survey statistician at the statistics and data science department at Westat for over 10 years. At Westat, she works on sampling, weighting, propensity models, data linkage, and other topics across education, health, transportation surveys and so... Read More →
Organizers
avatar for IDWSDS Program Committee
S504 Abstracts pdf
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #5
  Contributed Session, Technical Statistical Session

15:00 UTC

S310 - Read to Lead and Succeed in Statistics and Data Science
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #3
In this session, you will learn why it is important for statisticians and data scientists to read books on leadership. You will appreciate how leadership books can inspire statisticians to be better leaders and collaborators. You will be introduced to the perspectives of statisticians about leadership. And you will be challenged to join or start a leadership book club to accelerate your career development.
Speakers
avatar for Ksenija Dumicic

Ksenija Dumicic

University of Zagreb, Faculty of Economics and Business & DOBA University of AS
Ksenija Dumičić, Ph.D., is a tenured full professor in statistics from the University of Zagreb Faculty of Economics & Business and is currently a visiting professor at DOBA University of Applied Sciences in Slovenia. She founded and led Croatia’s first postgraduate study programme... Read More →
avatar for Amanda Golbeck

Amanda Golbeck

College of PUblic Health, University of Arkansas for Medical Sciences
Amanda L. Golbeck is a statistician, academic leader, historian, biographer, and communicator of science. She is known for her authored books, "Equivalence: Elizabeth L. Scott at Berkeley" (Chapman & Hall, 2017) and "Florence Nightingale David: A Passionate Probabilist, Statistician... Read More →
avatar for James Cochran

James Cochran

Professor of Applied Statistics and the Mike and Kathy Mouron Chair, The University of Alabama
Dr. Cochran is Professor of Applied Statistics and the Mike and Kathy Mouron Research Chair with The University of Alabama. He was one of the founders of Statistics without Borders.
avatar for Jessica Utts

Jessica Utts

University of California, Irvine
Jessica Utts is Professor Emerita of Statistics at the University of California, Irvine, where she served as department chair for 5 years. She has held numerous leadership roles in statistics organizations including as President of ASA, the Caucus for Women in Statistics, and WNAR... Read More →
Chairs/Hosts
BN
Organizers
avatar for Amanda Golbeck

Amanda Golbeck

College of PUblic Health, University of Arkansas for Medical Sciences
Amanda L. Golbeck is a statistician, academic leader, historian, biographer, and communicator of science. She is known for her authored books, "Equivalence: Elizabeth L. Scott at Berkeley" (Chapman & Hall, 2017) and "Florence Nightingale David: A Passionate Probabilist, Statistician... Read More →
S309 Abstracts pdf
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #3
  Invited Session, Career or Professional Development Session

17:00 UTC

S119 - Statistical Methods and Applications 3
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #5
Adaptive Functioning in Angelman Syndrome: Insights from Statistical Modeling | Novel Influence Diagnostics in Multistate Models for Breast Cancer | Goodness-of-fit test for the Dirichlet distribution | A Bayesian Exploration of Bimodal Fertility Patterns Using Lifetime Densities.
Speakers
avatar for Julia Zhang

Julia Zhang

Statistician, RTI International
Julia Ann Zhang graduated from North Carolina State University with a Masters Degree in Statistics and a Concentration in Biostatistics. Currently, she is a statistician at Research Triangle Institute (RTI), where she provides data processing, statistical programming, and data analysis... Read More →
avatar for Valeria Leiva

Valeria Leiva

Publicado Health Department, Universidad de los Andes, Chile
I am a Statistician with B.Sc., M.Sc., and Ph.D. training in Statistics from Pontificia Universidad Católica de Chile. I am currently affiliated with the Department of Public Health at Universidad de los Andes, Chile. My research focuses on joint modeling of longitudinal and survival... Read More →
avatar for Sucharitha Dodamgodage

Sucharitha Dodamgodage

Clarkson University
Sucharitha (Suchi) Dodamgodage is a Biostatistician and Statistics PhD Candidate at Clarkson University who loves turning complex mathematical theory into clean, reliable data pipelines for the life sciences. She solved a major statistical conjecture left open since 1989 regarding... Read More →
avatar for Shambhavi Singh

Shambhavi Singh

Assistant Professor, Statistics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India
I am working as an Assistant Professor (Statistics), Applied Sciences Cluster at the School of Advanced Engineering, University of Petroleum and Energy Studies, Uttarakhand, India. I have obtained my Ph.D. in Statistics (2025) from Banaras Hindu University under the supervision of... Read More →
Organizers
avatar for IDWSDS Program Committee
S505 Abstracts pdf
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #5
  Contributed Session, Technical Statistical Session

17:00 UTC

S407 - Health and Biostatistics 2
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #4
Scalable Nearest-Neighbor Gaussian Graphical Models for Demographic Heterogeneity in GLP-1 Outcomes|Paired Portfolio Trading: A Statistical Approach|Methodological opportunities in genomic data analysis to advance health equity
Speakers
avatar for Gaoqianxue Liu

Gaoqianxue Liu

Drexel University
Gaoqianxue (Daphne) Liu is a PhD student in Biostatistics at the Dornsife School of Public Health, Drexel University. Her research includes scalable Bayesian methods for high-dimensional and graphical models in electronic health records, longitudinal and trajectory modeling, and machine... Read More →
avatar for Leandra Braeuninger

Leandra Braeuninger

University College London
Leandra Bräuninger (they/them; she/her) is a doctoral student at University College London, supervised by Dr Brieuc Lehmann and Prof. Ioanna Manolopoulou, using statistical and machine learning methods to define, quantify and mitigate genomic inequity. Drawing on algorithmic fairness... Read More →
avatar for Sara Mezuri

Sara Mezuri

Graduate Reasearch Assistant
I am a Ph.D. candidate in the Department of Mathematics and Statistics at Oakland University in Michigan, specializing in Applied Mathematics. Currently, I am in my fifth and final year, and I expect to graduate in December 2026. My research involves developing several statistical... Read More →
Organizers
avatar for IDWSDS Program Committee
S407 Abstracts pdf
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #4
  Contributed Session, Technical Statistical Session

17:00 UTC

S214 - Beyond Automation: Using Generative AI to Elevate Critical Thinking, Personalization, Engagement, and Analytics Instruction
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #2
Generative AI is rapidly reshaping the landscape of statistics and business analytics education, offering new opportunities to improve course design, assignment development, and feedback processes. This panel will share practical strategies for integrating AI into teaching workflows while maintaining statistical rigor and fostering student understanding.

We highlight approaches for AI-assisted case and assignment design, including adaptive scenarios in which students pose questions, request instructor-controlled synthetic data, and iteratively refine their analyses. These methods promote deeper engagement with modeling choices, assumptions, and critical thinking-core goals of statistics education.

The panel also demonstrates how AI can support assessment and feedback, from automated classwide test analysis to personalized guidance that helps students interpret results and correct misconceptions.

Attendees will leave with concrete examples, implementation tips, and considerations for responsible use of AI tools in statistics and business analytics classrooms.
Speakers
avatar for George Reckk

George Reckk

Assoc. Prof. of Practice, Babson College
Mr. Recck has taught at Babson College since 1984. Prior to that, Mr. Recck worked his way toward his undergraduate and MBA degrees from Babson while working in Babson's Computer Center. After receiving his MBA from Babson in 1984, Mr. Recck was promoted to Director of Academic Computer... Read More →
avatar for John Draper

John Draper

The Ohio State University
John Draper is an Associate Professor of Clinical Operations and Business Analytics in the Fisher College of Business at The Ohio State University. He has a PhD and MS in statistics from Ohio State as well as BS degrees in mathematics and statistics from Florida State University... Read More →
avatar for Ismael Talke

Ismael Talke

The Ohio State University
Ismael Talke is a Senior Lecturer in the Management Science Department. He joined Fisher in 2019 after serving as a visiting faculty at Miami University Ohio, department of Information Systems and Analytics, where he taught undergraduate Business Analytics, Statistics, and Business... Read More →
avatar for Cheryl Edelmann

Cheryl Edelmann

Senior Lecturer, University of Dayton
Cheryl Edelmann is a professor of Business Analytics in the Department of MIS, OSC, and Business Analytics at the University of Dayton. Cheryl educates future business professionals in the area of statistics, helping them develop the skills needed to succeed in today’s data-driven... Read More →
Chairs/Hosts
avatar for Jessica Kohlschmidt

Jessica Kohlschmidt

Caucus for Women in Statistics and Data Science
Dr. Jessica K. Kohlschmidt is a distinguished biostatistician, educator, and leader in the statistical community. A first-generation college student, her early passion for math and teaching evolved into a dedicated career in statistics after discovering its real-world applications... Read More →
Organizers
avatar for Jessica Kohlschmidt

Jessica Kohlschmidt

Caucus for Women in Statistics and Data Science
Dr. Jessica K. Kohlschmidt is a distinguished biostatistician, educator, and leader in the statistical community. A first-generation college student, her early passion for math and teaching evolved into a dedicated career in statistics after discovering its real-world applications... Read More →
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #2
  Invited Panel, Career or Professional Development Session

17:00 UTC

S302 - Emerging Computational Methods in Statistical Inference: Multivariate Analysis, Bayesian Shrinkage, and Advanced Regression Modeling
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #1
This session presents novel computational and methodological advancements in modern statistical inference, focusing on complex data structures such as multivariate, longitudinal, and high-dimensional survival data. The presentations span both frequentist and Bayesian paradigms, featuring innovative strategies to overcome long-standing computational bottlenecks commonly encountered in such investigations. The session opens with a new framework for multivariate order-restricted statistical inference under a general grass ordering, applying a pairwise optimization criterion and introducing an efficient vector projection-based algorithm to estimate the order-restricted mean matrix. It then transitions into the Bayesian realm with two complementary presentations on longitudinal quantile regression. These back-to-back talks first present a robust partially collapsed Gibbs sampler to conquer convergence failures in high dimensions and then showcase a Bayesian adaptive LASSO framework that utilizes clustering-based shrinkage for simultaneous optimal quantile estimation and sparse variable selection. The session concludes by extending advanced continuous shrinkage priors to survival analysis, presenting a hybrid minorize-maximize algorithm for high-dimensional proportional hazards models using the horseshoe+ prior. Together, these talks highlight recent developments of highly efficient algorithms to extract reliable inferences from high-dimensional and complicated datasets.
Speakers
avatar for Mai Dao

Mai Dao

Assistant Professor, Wichita State University
Dr. Mai Dao is an Assistant Professor of Statistics in the Department of Mathematics, Statistics, and Physics at Wichita State University. She obtained her Ph.D. from Texas Tech University under the supervision of Professors Min Wang (The University of Texas at San Antonio) and Souparno... Read More →
avatar for Yujie Jia

Yujie Jia

Wichita State University
Yujie Jia is affiliated with Wichita State University, where she is currently a Ph.D. student in the Mathematics, Statistics, and Physics Department. Her research interests include multivariate order-restricted statistical inference, hypothesis testing, maximum likelihood estimation... Read More →
avatar for Sining Zhang

Sining Zhang

Wichita State University
Sining Zhang is a Ph.D. candidate in Applied Statistics at the Department of Mathematics, Statistics, and Physics at Wichita State University under the supervision of Dr. Mai Dao. Her research focuses on Bayesian quantile regression for longitudinal data, with an emphasis on partially... Read More →
avatar for Sarah Ghazawneh

Sarah Ghazawneh

Wichita State University
Sarah Ghazawneh is a Ph.D. candidate in Applied Mathematics at the Department of Mathematics, Statistics, and Physics at Wichita State University under the supervision of Dr. Mai Dao. Her research focuses on Bayesian quantile regression for longitudinal data, with an emphasis on efficient... Read More →
Chairs/Hosts
avatar for Mai Dao

Mai Dao

Assistant Professor, Wichita State University
Dr. Mai Dao is an Assistant Professor of Statistics in the Department of Mathematics, Statistics, and Physics at Wichita State University. She obtained her Ph.D. from Texas Tech University under the supervision of Professors Min Wang (The University of Texas at San Antonio) and Souparno... Read More →
Organizers
avatar for Mai Dao

Mai Dao

Assistant Professor, Wichita State University
Dr. Mai Dao is an Assistant Professor of Statistics in the Department of Mathematics, Statistics, and Physics at Wichita State University. She obtained her Ph.D. from Texas Tech University under the supervision of Professors Min Wang (The University of Texas at San Antonio) and Souparno... Read More →
S119 Abstracts pdf
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #1
  Invited Session, Technical Statistical Session

18:00 UTC

S505 - Code is for Everyone: Showcasing Tools to Support Learners at all Levels
Tuesday October 6, 2026 18:00 - 19:00 UTC
Zoom Room #5
Code is for Everyone: Showcasing Tools to Support Learners at all Levels
Speakers
avatar for Kelly Bodwin

Kelly Bodwin

California Polytechnic State University
Dr. Kelly Bodwin is an Associate Professor of Statistics and Data Science at California Polytechnic State University, San Luis Obispo. Her research interests include cross-disciplinary work in Digital Humanities, including historical social networks and authorship identification... Read More →
avatar for Mine Cetinkaya-Rundel

Mine Cetinkaya-Rundel

Duke University
Dr. Mine Çetinkaya-Rundel is Professor of the Practice and the Director of Undergraduate Studies at the Department of Statistical Science and the Director of First-Year Experience at Duke University. She is also a Developer Educator at Posit, PBC, an open-source data science software... Read More →
avatar for Cara Thompson

Cara Thompson

Data Visualisation Consultant, Building Stories with Data LTD
Dr. Cara Thompson is a data visualisation consultant with an academic background, specialising in helping research teams and data-driven organisations turn their data insights into to clear and compelling visualisations.

After her PhD in Psychology and a spell teaching research methods at Edinburgh Uni, she embarked on a career in psychometrics at the Royal college of Surgeons of Edinburgh. After ten years of helping surgeons and other medical professionals understand complex patterns in exam data... Read More →
Chairs/Hosts
avatar for Jamie Joseph

Jamie Joseph

Henry Ford Health
Dr. Jamie Joseph is a faculty biostatistician in the Department of Public Health Sciences at Henry Ford Health with a joint appointment as an Assistant Professor of Research at Michigan State University. She earned her PhD in Biostatistics from Vanderbilt University in 2024. Currently... Read More →
Organizers
avatar for Ashley Mullan

Ashley Mullan

Vanderbilt University
Ashley Mullan is a PhD student and research assistant in the Department of Biostatistics at Vanderbilt University. She earned her MS in Statistics from Wake Forest University. Her research interests include both methods development for measurement error and missing data and their... Read More →
S506 Abstracts pdf
Tuesday October 6, 2026 18:00 - 19:00 UTC
Zoom Room #5
  Invited Session, Technical Statistical Session

20:00 UTC

S313 - Education and Leadership 2
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #3
Understanding the role of non-academic factors in student success: Perspectives from a minority-serving institution | Gender Norms and Economic Decision-Making: Evidence on Risk and Labor Outcomes | Faculty Teaching and Research Productivity and Equity in STEM: Student Grade Gaps in Lower-Division Courses | Elevating Collaborations with Leadership and Hospitality
Speakers
avatar for Sinjini Mitra

Sinjini Mitra

California State University, Fullerton
Dr. Sinjini Mitra is a professor in the Information Systems & Decision Sciences (ISDS) department at the College of Business and Economics, California State University, Fullerton (CSUF). Previously, she was a postdoctoral research fellow at USC's Information Sciences Institute. Dr... Read More →
avatar for Anna Kye

Anna Kye

University of California Irvine
Anna Kye is a Postdoctoral Scholar at UC Irvine, with appointments at the Postsecondary Education Research Institute and the Division of Teaching Excellence and Innovation. She holds a Ph.D. in Research Methodology (Quantitative) from Loyola University Chicago and an M.S. in Statistics... Read More →
avatar for Kristin Gaffney

Kristin Gaffney

University of Arkansas for Medical Sciences
Kristin Gaffney is a collaborative staff biostatistician in the Department of Biostatistics shared between the College of Medicine and the College of Public Health at the University of Arkansas for Medical Sciences. She has a Master of Public Health degree from the University of Nebraska... Read More →
avatar for Orlie Weitzman

Orlie Weitzman

University of Chicago Laboratory Schools
I am a junior at the University of Chicago Laboratory Schools with an interest in behavioral economics, particularly gender and wealth inequality. I have worked as a student researcher for Professor Marianne Bertrand and am currently involved in an ongoing study on the global rise... Read More →
Organizers
avatar for IDWSDS Program Committee
S313 Abstracts pdf
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #3
  Contributed Session, Technical Statistical Session, Other, Career or Professional Development Session

20:00 UTC

S121 - Advances in Statistical Methodology for Complex and High-Dimensional Data
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #1
This invited session showcases recent advances in statistical methodology for analyzing increasingly complex, high-dimensional, and structured data arising in biomedical research, imaging, surveys, and longitudinal studies. The presentations introduce innovative approaches to sufficient dimension reduction, scalable spatial topic modeling for multiplexed imaging, Bayesian small area estimation under informative sampling, and Bayesian semiparametric quantile mixed-effects models for longitudinal data with missing responses. Together, these talks highlight modern statistical techniques that combine methodological rigor with computational efficiency to address emerging challenges in data science, while demonstrating broad applicability across diverse scientific disciplines.
Speakers
avatar for Mai Dao

Mai Dao

Assistant Professor, Wichita State University
Dr. Mai Dao is an Assistant Professor of Statistics in the Department of Mathematics, Statistics, and Physics at Wichita State University. She obtained her Ph.D. from Texas Tech University under the supervision of Professors Min Wang (The University of Texas at San Antonio) and Souparno... Read More →
avatar for Chenlu Ke

Chenlu Ke

Virginia Commonwealth University
Dr. Chenlu Ke is an Associate Professor in the Department of Statistical Sciences and Operations Research at Virginia Commonwealth University. Her research focuses on methodological and computational developments for high- and ultrahigh-dimensional complex data, with applications... Read More →
avatar for Yanghyeon Cho

Yanghyeon Cho

University of Idaho
Yanghyeon Cho is an Assistant Professor in the Department of Mathematics and Statistical Science at the University of Idaho. Her research interests include survey sampling and statistical genetics, with a focus on small area estimation, Mendelian randomization, and multi-omics data... Read More →
avatar for Xiyu Peng

Xiyu Peng

Texas A&M University
Dr. Xiyu Peng is an assistant professor in the Department of Statistics at Texas A&M University. Her research focuses on developing statistical and computational methods for resolving temporal and spatial dynamics in single cell omics data with applications in cancer. She got her... Read More →
Chairs/Hosts
YN
Organizers
YN
S121 Abstracts pdf
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #1
  Invited Session, Technical Statistical Session

20:00 UTC

S506 - Recent Advances in Sequential Inference
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #5
Sequential analysis continues to play a central role in modern statistics by enabling data-driven decision making while balancing statistical efficiency, computational cost, and practical constraints. This session highlights recent methodological advances in sequential and multistage inference across a range of contemporary statistical problems. Topics include sequential estimation of distributional overlap with boundary corrections for reliable confidence interval construction, multistage algorithms for efficient data compression under growing dimensions, penalized sequential estimation and variable selection for recurrent event models with high-dimensional covariates, and multistage sampling strategies for constructing minimum-risk confidence regions for multivariate means. Together, these contributions illustrate how sequential methodologies are being extended beyond their classical foundations to address challenges arising from high-dimensional data, adaptive sampling, optimization of statistical risk, and modern computational applications.
Speakers
avatar for Swarnali Banerjee

Swarnali Banerjee

Associate Professor, Director of Data Science Program, Loyola University Chicago
Dr. Swarnali Banerjee is an Associate Professor and Director of Data Science in the Department of Mathematics and Statistics at Loyola University Chicago. She received her Ph.D. in Statistics from the University of Connecticut in 2014. Prior to joining Loyola University in 2016, she... Read More →
avatar for Zhe Wang

Zhe Wang

Denison University
Dr. Zhe Wang is an Assistant Professor in the Department of Data Analytics at Denison University. She earned her B.S. in Statistics from Beijing Normal University and her M.S. and Ph.D. in Statistics from the University of Connecticut. Her research interests include statistical inference... Read More →
avatar for Swathi Venkatesan

Swathi Venkatesan

Fairfield University
Dr. Swathi Venkatesan is an Assistant Professor in the Department of Mathematics at Fairfield University. She earned her PhD in Statistics from the University of Connecticut. Her research interests include sequential estimation and inference, experimental design, and the development... Read More →
avatar for Laura Dumitrescu

Laura Dumitrescu

Fairfield University
Dr. Laura Dumitrescu is an Associate Professor in the Department of Mathematics at Fairfield University, where she has been a faculty member since 2022. Prior to joining Fairfield, she was a member of the Probability and Statistics research group in the School of Mathematics and Statistics... Read More →
Chairs/Hosts
avatar for Swathi Venkatesan

Swathi Venkatesan

Fairfield University
Dr. Swathi Venkatesan is an Assistant Professor in the Department of Mathematics at Fairfield University. She earned her PhD in Statistics from the University of Connecticut. Her research interests include sequential estimation and inference, experimental design, and the development... Read More →
Organizers
avatar for Swathi Venkatesan

Swathi Venkatesan

Fairfield University
Dr. Swathi Venkatesan is an Assistant Professor in the Department of Mathematics at Fairfield University. She earned her PhD in Statistics from the University of Connecticut. Her research interests include sequential estimation and inference, experimental design, and the development... Read More →
S507 Abstracts pdf
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #5
  Invited Session, Technical Statistical Session

21:00 UTC

S216 - Statistical Methods and Applications 2
Tuesday October 6, 2026 21:00 - 22:00 UTC
Zoom Room #2
Mixture-based Nonparametric Estimation of Spatial Covariance Functions with Applications to HIV Key Population Size Estimation across Sub-Saharan Africa | Influenza hospitalization tracking using internet search data and ILI surveillance | The Impact of Recent State Staffing Minimum Mandates on Nursing Home Residents|From Raw Wearable Data to Scientific Inference: A Reproducible Pipeline for Processing Commercial Step Count Data in Aging Cohorts
Speakers
avatar for Manushi Siriwardana

Manushi Siriwardana

Penn State
Manushi Siriwardana is a Ph.D. student in Statistics at Penn State. She will be entering her fourth year of the Ph.D. program in Fall 2024. Her research focuses on spatial statistics, public health, and computational statistics. She is interested in developing statistical methodology... Read More →
avatar for Hanqi Shi

Hanqi Shi

Swarthmore College
Hanqi Shi is an undergraduate student at Swarthmore College majoring in Statistics and Computer Science. Her research interests include statistical modeling, machine learning, and interdisciplinary applications.
avatar for Angira Mondal

Angira Mondal

University of Pennsylvania
Angira Mondal is a Senior Statistical Analyst at the Perelman School of Medicine, University of Pennsylvania, where she works in the Policy and Economics of Disability, Aging, and Long Term Care (PEDAL) Lab. Her research focuses on complex healthcare data, including claims analysis... Read More →
avatar for Nannan Bo

Nannan Bo

Duke University; Dartmouth College
Nannan Bo recently completed her Master of Biostatistics at Duke University and will begin her PhD training in the Quantitative Biomedical Sciences program at Dartmouth College in Fall 2026. Her research interests span clinical trial design, Bayesian methods, measurement error, wearable... Read More →
Organizers
avatar for IDWSDS Program Committee
S216 Abstracts pdf
Tuesday October 6, 2026 21:00 - 22:00 UTC
Zoom Room #2
  Contributed Session, Technical Statistical Session

21:00 UTC

S315 - AI and Data Science 3
Tuesday October 6, 2026 21:00 - 22:00 UTC
Zoom Room #3
From Law to Data Governance: Rebuilding from Scratch at the Intersection of Legal Frameworks and AI | AI in Long‑Term Care: Practical Tools for Workflow Efficiency, Documentation Support, and Caregiver Well‑Being | Which one to use, traditional Algorithms or AI? Approaches for Computational Problem-Solving | Optimizing Portfolio Allocation with Unsupervised Machine Learning
Speakers
avatar for Charity Nyamuchengwa

Charity Nyamuchengwa

clarkson university
Charity is an applied AI practitioner focused on improving workflows, documentation, and safety in long‑term care environments. She develops practical, caregiver‑centered tools including an AI‑assisted documentation helper, a medication‑workflow guidance system, and a synthetic... Read More →
avatar for Weijie Pang

Weijie Pang

Wentworth Institute of Technology
Weijie Pang is a tenure-track assistant professor in School of Computing and Data Science at Wentworth Institute of Technology. After received Ph.D. from Worcester Polytechnic Institute and B.S. and M.S. from Beijing University of Technology, Dr. Pang finished the Post-doc program... Read More →
avatar for Daniela Márquez

Daniela Márquez

Universidad Autónoma de Chiapas
I am a lawyer-turned-data-scientist based in Aguascalientes, Mexico. After more than eight years working in Mexico's Federal Judiciary, I pursued an M.Sc. in Data Science, Big Data and Business Analytics at Universidad Complutense de Madrid and am currently completing a B.Sc. in Statistics... Read More →
avatar for Jae Sook Cheong

Jae Sook Cheong

Data Steward with Data Governance
Dr. Jae Sook Cheong is a senior researcher and a data professional. Her works are in the area of data governance, knowledge representation with data analysis, algorithm analysis, and machine learning. With many years of experience across academia, industry, and national R&D institutes... Read More →
Organizers
avatar for IDWSDS Program Committee
S314 Abstracts pdf
Tuesday October 6, 2026 21:00 - 22:00 UTC
Zoom Room #3
  Contributed Session, Career or Professional Development Session, Other

22:00 UTC

S316 - AI and Data Science 4
Tuesday October 6, 2026 22:00 - 23:00 UTC
Zoom Room #3
Bayesian Time-Dynamic Mixed-Effects Modeling of Longitudinal Data | When the Data Goes Quiet: Using HDBSCAN to Reveal Gendered Street Crime Patterns Hidden in Official Crime Data | From Gut to Data: A Replicable Forecasting Framework for Rural Micro-Retailers in Data-Poor Environments|Collective Intelligence Lead to Open Innovations
Speakers
avatar for Nisha Daniel Raju Daniel

Nisha Daniel Raju Daniel

Bayer AG
Dr. Nisha Daniel R is a qualified Dental Surgeon seamlessly bridging the worlds of clinical medicine and advanced digital health informatics. Currently completing her Master of Science in Data Science for Health and Social Care at the University of Edinburgh, her expertise lies at... Read More →
avatar for Makena Grigsby

Makena Grigsby

University of California, Riverside
Makena Grigsby recently earned her M.S. in Statistics from the University of California, Riverside. Her academic work focuses on Bayesian modeling, survival analysis, machine learning, and statistical computing. She is especially interested in developing and applying flexible statistical... Read More →
avatar for Farah Ahmed

Farah Ahmed

HORUS VISTA LABS and OSU
Farah Ahmed is a Senior Analytics and Insights Lead at Equitable Advisors and the founder and Principal Data Scientist at Horus Vista Labs, an applied data science consultancy serving rural and underserved small businesses. Her work spans demand forecasting, causal inference, and... Read More →
Organizers
avatar for IDWSDS Program Committee
S315 Abstracts pdf
Tuesday October 6, 2026 22:00 - 23:00 UTC
Zoom Room #3
  Contributed Session, Technical Statistical Session, Career or Professional Development Session

22:00 UTC

S123 - Borrowing Strength: Statistical Strategies for Imperfect Data
Tuesday October 6, 2026 22:00 - 23:00 UTC
Zoom Room #1
This session highlights how modern biostatistics tackles a shared challenge across very different problems: making valid, efficient inference when the data we have is incomplete, limited, imbalanced, or imperfectly comparable to the question we want to answer. Talks in this session explore how statisticians "borrow strength" – from historical or external data sources, from related but heterogeneous datasets, from carefully constructed causal designs, and from generative models that learn the structure of missingness itself – to push beyond the limitations of any single dataset. Together, these four talks, spanning clinical trials, large-scale survey methodology, high-dimensional prediction, and observational causal inference, showcase the breadth of ideas at the intersection of biostatistics, machine learning, and causal reasoning, and the methodological creativity required to turn imperfect data into trustworthy conclusions.
Speakers
avatar for Xiaoting Chen

Xiaoting Chen

New York University
Xiaoting Chen is a 4th-year Biostatistics PhD candidate at New York University School of Global Public Health. Her research focuses on dynamic borrowing methods for clinical trial design, with an emphasis on frequentist frameworks that combine historical and concurrent control data... Read More →
avatar for Yuyu(Ruby) Chen

Yuyu(Ruby) Chen

New York University
Yuyu(Ruby) Chen recently graduated from NYU School of Global Public Health with PhD in Biostatistics. Her PhD work focused on developing and evaluating advanced missing data imputation frameworks tailored for healthcare research, which covers the aspects including clinical trials... Read More →
avatar for Jianan Zhu

Jianan Zhu

New York University
Jianan is a rising fifth-year PhD student in Biostatistics. Her main research interest is on design-based causal inference. She is interested in observational studies, randomized trials, sensitivity analysis, and their applications in health policy research, infectious disease research... Read More →
avatar for Iris Zhang

Iris Zhang

New York University
Iris is a 4th-year Biostatistics PhD student at New York University School of Global Public Health. Her research focuses on statistical machine learning and high-dimensional inference, with an emphasis on transfer learning, representation learning, and AI-driven methods for healthcare... Read More →
Chairs/Hosts
YM
Organizers
avatar for Xiaoting Chen

Xiaoting Chen

New York University
Xiaoting Chen is a 4th-year Biostatistics PhD candidate at New York University School of Global Public Health. Her research focuses on dynamic borrowing methods for clinical trial design, with an emphasis on frequentist frameworks that combine historical and concurrent control data... Read More →
S123 Abstracts pdf
Tuesday October 6, 2026 22:00 - 23:00 UTC
Zoom Room #1
  Invited Session, Technical Statistical Session

22:00 UTC

S217 - Experiences of Early Career Biostatisticians in Clinical Trial and Data Coordinating Centers
Tuesday October 6, 2026 22:00 - 23:00 UTC
Zoom Room #2
This session will feature four early career researchers working in academic data coordinating and/or clinical trial centers. The speakers will talk about their (collaborative) biostatistician roles and responsibilities in their respective institutions, sharing about their training journeys and lessons learned along the way.
Speakers
avatar for Emily Roberts

Emily Roberts

University of Iowa
Dr. Emily Roberts is an assistant professor of biostatistics at the University of Iowa. She completed her PhD in Biostatistics at the University of Michigan in 2022, where her dissertation focused on Causal Inference Methods and Intermediate Endpoints in Randomized Clinical Trials... Read More →
avatar for Megan McCabe

Megan McCabe

Assistant Professor, Department of Biostatistics, University of Alabama at Birmingham
Dr. Megan McCabe is an Assistant Professor in the Department of Biostatistics at the University of Alabama at Birmingham (UAB), and the Assistant Director for Clinical Trials Development for the DATA coordinating and Collaborative Research Unit (DATA CRU). She graduated with her PhD... Read More →
avatar for Madeline Abbott

Madeline Abbott

Harvard University
I am a Research Associate in the Center for Biostatistics in AIDS Research (CBAR) at Harvard University. I work on clinical trials for the treatment and prevention of HIV and tuberculosis, collaborating closely with clinicians in the International Maternal Pediatric Adolescent AIDS... Read More →
avatar for Margaret Banker

Margaret Banker

Northwestern University
Dr. Margaret Banker is an Assistant Professor of Biostatistics and Informatics in the Department of Preventive Medicine at Northwestern University Feinberg School of Medicine. As a member of the Northwestern University Data Analysis & Coordinating Center (NUDACC), she collaborates... Read More →
Chairs/Hosts
avatar for Emily Roberts

Emily Roberts

University of Iowa
Dr. Emily Roberts is an assistant professor of biostatistics at the University of Iowa. She completed her PhD in Biostatistics at the University of Michigan in 2022, where her dissertation focused on Causal Inference Methods and Intermediate Endpoints in Randomized Clinical Trials... Read More →
Organizers
avatar for Emily Roberts

Emily Roberts

University of Iowa
Dr. Emily Roberts is an assistant professor of biostatistics at the University of Iowa. She completed her PhD in Biostatistics at the University of Michigan in 2022, where her dissertation focused on Causal Inference Methods and Intermediate Endpoints in Randomized Clinical Trials... Read More →
S217 Abstracts pdf
Tuesday October 6, 2026 22:00 - 23:00 UTC
Zoom Room #2
  Invited Session, Career or Professional Development Session

22:00 UTC

S412 - Building Trustworthy Financial Systems with Explainable AI: Applications in Credit Risk Modeling and Financial Inclusion
Tuesday October 6, 2026 22:00 - Wednesday October 7, 2026 18:30 UTC
Zoom Room #4
Artificial intelligence is transforming how financial institutions assess creditworthiness, detect fraud, and expand access to financial services. Yet many of today's most powerful machine learning models remain opaque, making consequential decisions that customers, regulators, and even financial institutions struggle to interpret. As AI adoption accelerates, ensuring transparency, accountability, and fairness has become essential to building public trust and achieving equitable financial outcomes.
Speakers
avatar for Angela Omogbeme

Angela Omogbeme

University of West Georgia
Angela Omogbeme is a financial technology researcher and data analytics professional specializing in artificial intelligence, explainable AI, fraud detection, credit risk modeling, and financial inclusion.

She holds an M.S. in Business Analytics (4.0 GPA) from the University of West Georgia and an MBA from Edinburgh Business School, Heriot-Watt University, UK. Her research has been presented internationally, including at conferences hosted at the University of Oxford ,UK and the University... Read More →
Organizers
avatar for Angela Omogbeme

Angela Omogbeme

University of West Georgia
Angela Omogbeme is a financial technology researcher and data analytics professional specializing in artificial intelligence, explainable AI, fraud detection, credit risk modeling, and financial inclusion.

She holds an M.S. in Business Analytics (4.0 GPA) from the University of West Georgia and an MBA from Edinburgh Business School, Heriot-Watt University, UK. Her research has been presented internationally, including at conferences hosted at the University of Oxford ,UK and the University... Read More →
Tuesday October 6, 2026 22:00 - Wednesday October 7, 2026 18:30 UTC
Zoom Room #4
  Plenary Talk, Career or Professional Development Session
 
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