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Tuesday, October 6
 

00:30 UTC

S301 - Why and When Targeted Validation Sampling Offers Statistical Efficiency Gains: A Case Study on Healthy Food Access and Disease Outcomes
Tuesday October 6, 2026 00:30 - 01:00 UTC
Zoom Room #3
Quantifying neighborhood food environments and understanding their relationships with residents’ health is a public health priority. Using simple, error-prone food access metrics (like the shortest straight-line routes to healthy food stores) introduces measurement error and biases downstream statistical models, but measuring the more-accurate, map-based ones (like shortest driving routes) for entire studies is often implausible. Fortunately, adopting a two-phase design can harness the best of both metrics by combining the error-prone access measures for the entire study and the more-accurate ones for a chosen subset in a partial validation study. This validated subset can be strategically chosen to not only reduce bias but further improve efficiency when modeling relationships between health and the food environment. Technically, any information that is fully available for all neighborhoods can guide the validation sampling strategy. One such promising design paired stratification with Neyman allocation and sampled based on the influence function within each stratum. Using simulations and data for the Piedmont Triad Region of North Carolina, various validation sampling designs were evaluated to quantify the associations of diabetes count and obesity prevalence with neighborhood-level access to healthy foods, fitting two separate Poisson regression models, one for each outcome. We assess which design suits each model, and whether any is robust across settings.
Speakers
avatar for L. Ishara Wijayaratne

L. Ishara Wijayaratne

Department of Statistics, Wake Forest University
I am a graduate student in Statistics at Wake Forest University. Originally from Sri Lanka, I am keen on giving back to the community that has helped change my life so considerably. I am passionate about biostatistics, and my abstract submission addresses a pressing public health... Read More →
Organizers
avatar for L. Ishara Wijayaratne

L. Ishara Wijayaratne

Department of Statistics, Wake Forest University
I am a graduate student in Statistics at Wake Forest University. Originally from Sri Lanka, I am keen on giving back to the community that has helped change my life so considerably. I am passionate about biostatistics, and my abstract submission addresses a pressing public health... Read More →
Tuesday October 6, 2026 00:30 - 01:00 UTC
Zoom Room #3
  Plenary Talk, Technical Statistical Session

07:00 UTC

S303 - AI and Data Science 2
Tuesday October 6, 2026 07:00 - 08:00 UTC
Zoom Room #3
Observation-Weight-Based Strategies for Robust Stochastic Gradient Boosting in Genomic Prediction | A journey of pivoting: From Local Research Experiences to Global Data Science Connections | Teaching Statistics in the Age of AI: Beyond Calculation in Health Sciences Education
Speakers
avatar for Beatriz Gil Comparado

Beatriz Gil Comparado

FCTNOVA Math
Beatriz Gil Comparado is pursuing a Master's degree in Mathematics and Applications – Specialization in Data and Decision Sciences at NOVA School of Science and Technology (NOVA FCT), Portugal. Her research focuses on statistical methodology and machine learning, with particular... Read More →
avatar for Cherlynn Dumbura

Cherlynn Dumbura

CeSHHAR
Cherlynn Dumbura is a Zimbabwean data scientist and health researcher working across climate-health, maternal and newborn health, statistics and research. She is a board member of Applied Malaria Modeling network and in the leadership of International Biometric Society, Zimbabwean... Read More →
avatar for Camila Martins

Camila Martins

Associate Professor
Camila Bertini Martins is an Associate Professor at the Federal University of São Paulo (UNIFESP), Brazil, where she teaches Biostatistics in health sciences programs. She holds a PhD in Statistics from the University of São Paulo (USP). Her research interests include meta-analysis... Read More →
Organizers
avatar for IDWSDS Program Committee
S302 Abstracts pdf
Tuesday October 6, 2026 07:00 - 08:00 UTC
Zoom Room #3
  Contributed Session, Technical Statistical Session, Career or Professional Development Session, Other

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

S305 - The Role of Data Modelling for Better Outcomes in Women’s Health
Tuesday October 6, 2026 09:00 - 10:00 UTC
Zoom Room #3
Dr Rachael Duncan will introduce the session that brings together leading speakers to explore how advanced data modelling can improve outcomes in women’s health, particularly through equity-focused and locally led approaches. The session also highlights the importance of women as data scientists and modellers to ensure better healthcare outcomes. Dr Halima Twabi highlights capacity building in Sub-Saharan Africa, emphasising strengthening local expertise, supporting women data scientists, and applying advanced statistical and causal inference methods to complex health challenges. Dr Annabel Sowemimo contributes a critical perspective on structural inequalities, addressing racism and the need to decolonise healthcare systems. Dr Lucy Teece focuses on with insights from industry on the role of biometrics in cancer drug development. Together, the speakers demonstrate how inclusive, collaborative modelling approaches can generate more relevant, impactful, and equitable evidence for women’s health research and policy.
Speakers
avatar for Rachael Duncan

Rachael Duncan

BioSS
Rachael Duncan is a Statistician in Animal Health and Welfare at BioSS. Since joining BioSS in 2023, she has applied statistical methods to a wide range of challenges in animal health and welfare. Prior to this, she completed her PhD at Lancaster University, where she explored how... Read More →
avatar for Halima Twabi

Halima Twabi

University of Malawi
Halima Twabi is an Associate Professor of Statistics at the Department of Mathematical Sciences, University of Malawi. Her research interests are in causal inference for observational data, multivariate statistics, longitudinal and survival analysis, and statistical modelling and... Read More →
avatar for Annabel Sowemimo

Annabel Sowemimo

King’s College London
Dr Annabel Sowemimo is a doctor, academic, activist and writer, and an NHS Consultant in Sexual & Reproductive Health in South London. Her first book, Divided: Racism, Medicine and Why We Need to Decolonise Healthcare (2023), won the Bread and Roses Award for Radical Publishing and... Read More →
avatar for Lucy Teece

Lucy Teece

AstraZeneca
Dr Teece is an Associate Director of Statistical Science at AstraZeneca. Previously, she was a Lecturer in Medical Statistics in the Department of Health Sciences at the University of Leicester. She was awarded her PhD on “Investigating the presence and impact of competing events... Read More →
Chairs/Hosts
avatar for Rachael Duncan

Rachael Duncan

BioSS
Rachael Duncan is a Statistician in Animal Health and Welfare at BioSS. Since joining BioSS in 2023, she has applied statistical methods to a wide range of challenges in animal health and welfare. Prior to this, she completed her PhD at Lancaster University, where she explored how... Read More →
Organizers
EJ
S304 Abstracts pdf
Tuesday October 6, 2026 09:00 - 10:00 UTC
Zoom Room #3
  Invited Session, Technical Statistical Session

10:00 UTC

S306 - Modern Statistical Methods and Applications in Health Research
Tuesday October 6, 2026 10:00 - 11:00 UTC
Zoom Room #3
This session highlights the breadth of biostatistics through four distinct but complementary talks by statistical researchers. It explores how modern statistical methodologies are advancing health research by addressing challenges in evidence generation, clinical decision-making, and causal inference. The presentations cover Bayesian learning frameworks for individualised treatment recommendations, large language model-assisted tools that improve the efficiency and reproducibility of systematic reviews and meta-analyses, innovative clinical trial designs and the practical challenges that influence their efficiency, and Mendelian randomisation approaches for investigating causal relationships and therapeutic targets in cardiovascular disease. Together, these talks aim to strengthen the reliability, transparency and translation of evidence, thereby supporting more informed clinical and public health decision-making in an increasingly connected global health research landscape.
Speakers
avatar for Pamela Massiel Chiroque Solano

Pamela Massiel Chiroque Solano

University of Regensburg
Pamela Solano is a statistician passionate about transforming complex data into trustworthy clinical decisions. As a researcher at the Faculty of Informatics and Data Science, University of Regensburg, Germany, she develops interpretable AI and Bayesian learning methods that empower... Read More →
avatar for Danyang Dai

Danyang Dai

The University of Sydney
Danyang Dai (Daidai) is a final year PhD student (thesis submitted) at the Queensland Digital Health Centre. She is an applied statistician and infectious disease epidemiology researcher with expertise in large scale health data analysis, disease surveillance, and advanced statistical... Read More →
avatar for Aritra Mukherjee

Aritra Mukherjee

Newcastle University
Aritra Mukherjee is a Research Associate in the Biostatistics Research Group at Newcastle University. Her research focuses on developing innovative statistical methods for clinical trials, with expertise in adaptive trial designs such as multi-arm multi-stage (MAMS) trials, sample... Read More →
avatar for Daianna Gonzalez Padilla

Daianna Gonzalez Padilla

University of Cambridge
Researcher in Genetic Epidemiology at the MRC Biostatistics Unit, University of Cambridge, specializing in Mendelian randomization, a causal inference framework that uses genetic variants to assess the effects of putative risk factors on disease from observational data. My research... Read More →
Chairs/Hosts
RD
Organizers
RD
S305 Abstracts pdf
Tuesday October 6, 2026 10:00 - 11:00 UTC
Zoom Room #3
  Invited Session, Technical Statistical Session

12:00 UTC

S307 - Creating Alliances through a Data Feminism Community of Practice
Tuesday October 6, 2026 12:00 - 13:00 UTC
Zoom Room #3
How has the Global Data Feminism Community of Practice (DFCoP) supported data practitioners and statisticians in leading inclusive practices in data collection and uptake? This question will guide the discussion in this session, which will feature 4 of the more than 150 members of the DFCoP. This session will introduce the DFCoP as a Global Majority international community, where practitioners, statisticians, researchers, and civil society from all around the world exchange experiences and knowledge on how to put data feminism into practice. The session will begin by contextualizing the community and speakers’ strategic work in the fields of statistics and data feminism; as well as the practical ways in which members are co-creating a new network to continue the dialogue around feminist data practices and strengthen knowledge exchange. The session will then focus on the unique experiences of community members, including statisticians and project implementers. They will share some of their learnings and experiences on how they are applying data feminism into their statistical and data work. During the session, we will highlight the value of communities of practice like the DFCoP, and how members are not only practicing data feminism, but also collectively pushing the boundaries of this sector to advance equitable and accurate data practices. The session will conclude with a call to action, inviting attendees to join the community.
Speakers
avatar for Dr. Lorena Fuentes

Dr. Lorena Fuentes

Co-founder, Ladysmith Collective
Lorena’s research explores how different types of data shape visibility and action in development, with a focus on gender-related violence. Currently, she is co-authouring a book about the ‘gender data revolution’ with her co-founder and feminist-thought-partner-in-crime, Dr... Read More →
avatar for Lucine Kalantaryan

Lucine Kalantaryan

Statistical Committee of the Republic of Armenia (ARMSTAT)
Lucine Kalantaryan is the Head of the Labor Statistics Division and Gender Statistics Focal Point at the Statistical Committee of the Republic of Armenia (ARMSTAT), where she has coordinated the production and development of official statistics since 2002. An economist by training... Read More →
avatar for Anahit Simonyan

Anahit Simonyan

GIZ Armenia
Anahit Simonyan is a feminist researcher and human rights practitioner based in Armenia, with over 10 years of experience in combating gender-based violence and discrimination. Throughout her work she has cooperated with numerous local and international organizations and networks... Read More →
avatar for Eleonora Sironi

Eleonora Sironi

Researcher, Ladysmith Collective
Eleonora’s research focuses on the intersections between gender, technology, and digitization. She brings cross-sectoral experience through work with NGOs like Doctors Without Borders and tech start-ups like VIOLA, an app focused on addressing gender-based violence. As a researcher... Read More →
Chairs/Hosts
KS
Organizers
KS
Tuesday October 6, 2026 12:00 - 13:00 UTC
Zoom Room #3
  Invited Panel, 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

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

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

S311 - Data Analysis in Engineering and Ecology: Reliability, Branching Processes and Random Fuzzy Sets
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #3
This session brings together the last advances on Mathematical Statistics, and Data Analysis, considering the stochastic process framework, as well as more general and flexible probability modelling contexts, involving random elements, to represent uncertainly for data processing, in connection with Statistical Inference and Operations Research. Several practical problems can be analyzed, adopting the presented approaches, in Reliability, Engeneering, Social Sciences, Ecology, and Medicine, just to mention a few.

Three invited speakers make up the invited session:

Lucía Bautista Bárcena, University of Extremadura (Spain).
Carmen Minuesa , University of Extremadura (Spain).
Beatriz Sinova Fernández, University of Oviedo (Spain).
Speakers
avatar for Lucía Bautista

Lucía Bautista

Universidad de Extremadura
Lucía Bautista Bárcena is an Assistant Professor of Statistics and Operations Research at the University of Extremadura (Spain). She holds a BSc in Mathematics from the same institution (2017), where she also completed her MSc in Science Research (2019) and her PhD in Mathematics... Read More →
avatar for Carmen Minuesa Abril

Carmen Minuesa Abril

University of Extremadura
Carmen Minuesa is an Associate Professor in the Department of Mathematics and a member of the Institute of Advanced Scientific Computing at the University of Extremadura (UEx). Her research focuses on stochastic processes. She began her career with a PhD on branching processes and... Read More →
avatar for Beatriz Sinova

Beatriz Sinova

University of Oviedo
Beatriz Sinova Fernández is an Associate Professor in the Department of Statistics and Operational Research and Mathematics Didactics at the University of Oviedo. She holds a Bachelor's degree in Mathematics from the University of Oviedo, a Master's degree in Mathematical Modelling... Read More →
Chairs/Hosts
MD
Organizers
MD
S310 Abstracts pdf
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #3
  Invited Session, Technical Statistical Session

18:00 UTC

S312 - New advances on Functional data model-based clustering
Tuesday October 6, 2026 18:00 - 18:30 UTC
Zoom Room #3
Functional data analysis has attracted considerable attention in recent years, and its applications appear in physical processes, genetics, biology, meteorology, and signal processing. Many modern applications produce data best viewed as functions rather than finite-dimensional vectors because of their nature. Beyond the challenges of collecting and preprocessing such data, efficiently handling large volumes of functional observations has become an urgent concern. On one hand, functional data takes values in an infinite-dimensional space, which is challenging to handle with classical methods. On the other hand, ignoring the functionality aspect of data will lead to information loss. In this talk, we highlight model-based clustering methods, a powerful tool in machine learning for identifying subgroup-specific patterns. Specifically, we introduce new model-based clustering techniques for functional data, regardless of the Gaussian assumption. The performance of each algorithm is evaluated through simulations and real-world datasets, and the results confirm their efficiency.
Speakers
avatar for Mina Aminghafari

Mina Aminghafari

Associate Professor, University of Calgary
Dr. Mina Aminghafari is an Associate Professor in the Department of Mathematics and Statistics at the University of Calgary. Her research lies at the intersection of high-dimensional statistics, machine learning, and applied data science, particularly on clustering theory and statistical... Read More →
Organizers
avatar for Mina Aminghafari

Mina Aminghafari

Associate Professor, University of Calgary
Dr. Mina Aminghafari is an Associate Professor in the Department of Mathematics and Statistics at the University of Calgary. Her research lies at the intersection of high-dimensional statistics, machine learning, and applied data science, particularly on clustering theory and statistical... Read More →
Tuesday October 6, 2026 18:00 - 18:30 UTC
Zoom Room #3
  Plenary Talk, 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

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 →
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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
 
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