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Tuesday, October 6
 

04:00 UTC

S203 - AI and Data Science 1
Tuesday October 6, 2026 04:00 - 05:00 UTC
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
Tuesday October 6, 2026 04:00 - 05:00 UTC
Zoom Room #2

05:00 UTC

S106 - Statistical Methods and Applications 1
Tuesday October 6, 2026 05:00 - 06:00 UTC
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
Tuesday October 6, 2026 05:00 - 06:00 UTC
Zoom Room #1

07:00 UTC

S303 - AI and Data Science 2
Tuesday October 6, 2026 07:00 - 08:00 UTC
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
Tuesday October 6, 2026 07:00 - 08:00 UTC
Zoom Room #3

08:00 UTC

S304 - Education and Leadership 1
Tuesday October 6, 2026 08:00 - 09:00 UTC
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
Tuesday October 6, 2026 08:00 - 09:00 UTC
Zoom Room #3

09:00 UTC

S401 - Health and Biostatistics 1
Tuesday October 6, 2026 09:00 - 10:00 UTC
A Background Correction and Normalisation Framework for multiplex Immunofluorescence Spatial Proteomics | Menopause-related heterogeneity in lipoprotein(a) effect on atherosclerotic cardiovascular disease: a sex- and age-stratified Mendelian Randomization study in the UK Biobank | Income, Inequality, and Mortality: A Harmonized Comparative Framework Across Ecuador, Colombia, and Brazil|Absorbing Markov Chain Parameter Estimation Under Data Scarcity: A Comparative Study of Analytical and Monte Carlo Methods in Neonatal Care|Predicting the Right Treatment for the Right Patient: An AI-Powered Decision Support Framework Based on Predicted Individual Treatment Effects
Speakers
avatar for Malvika Kharbanda

Malvika Kharbanda

SAiGENCI
Malvika is a PhD candidate in computational oncology at Adelaide University (Australia), where she develops statistical and computational methods to analyse complex biomedical data. Her research focuses on using large scale clinical and spatial imaging datasets to better understand... Read More →
avatar for Gabriela Sandoval

Gabriela Sandoval

CISeAL - PUCE
PhD in Statistics, currently working as a postdoctoral researcher at the Center for Research on Health in Latin America (CISeAL), where she contributes to projects aimed at reducing health inequalities and mitigating the impact of economic crises in the region. Her expertise centers... 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 →
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 →
Organizers
Tuesday October 6, 2026 09:00 - 10:00 UTC
Zoom Room #4

10:00 UTC

S402 - Selected Topics in Statistical Methods and Applications
Tuesday October 6, 2026 10:00 - 12:00 UTC
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
Tuesday October 6, 2026 10:00 - 12:00 UTC
Zoom Room #4

12:00 UTC

S501 - Additional Topics in AI and Data Science 1
Tuesday October 6, 2026 12:00 - 13:00 UTC
Graph-Aware Sparse Regression for Block-Missing Multimodal Neuroimaging Data | Decoding Antartic Microbial Biodiversity through Hybrid Machine Learning and Constrained Ordination | Assessment of Methodological Quality in Non-Commercial Clinical Studies: The Impact of International Reporting Guidelines on Studies Approved
Speakers
avatar for Gabriella Tarantini

Gabriella Tarantini

Biologist, IRCCS Azienda Ospedaliero-Universitaria di Bologna
RESEARCH FELLOWSHIP & THESIS PROJECT, McMaster University, Department of Health Research Methods, Evidence, and Impact (HEI), Hamilton, Canada, from JUN/2026 to OCT/2026.
Developed and implemented statistical models to identify and evaluate predictive factors of methodological q... Read More →
avatar for Mutiyat Usman

Mutiyat Usman

North Carolina A&T State University
Mutiyat Adeola Usman is a Doctoral Researcher in Data Science and Analytics at North Carolina A&T State University, specializing in quantitative methodology, statistical modeling, and machine learning for complex, high-dimensional data. Her research focuses on developing Dynamic Gaussian... Read More →
avatar for Silvia María Herranz Hernández

Silvia María Herranz Hernández

University College London
I graduated with two bachelor's degrees, in Mathematics and Computer Science, from Universidad Autónoma de Madrid, having also studied at the Università degli Studi di Torino. In September 2026 I started an MSc in Artificial Intelligence for Biomedicine and Healthcare at University... Read More →
Organizers
Tuesday October 6, 2026 12:00 - 13:00 UTC
Zoom Room #5

13:00 UTC

S502 - Additional Topics in AI and Data Science 2
Tuesday October 6, 2026 13:00 - 14:00 UTC
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
Tuesday October 6, 2026 13:00 - 14:00 UTC
Zoom Room #5

14:00 UTC

S503 - Selected Topics in Statistics
Tuesday October 6, 2026 14:00 - 15:00 UTC
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
Tuesday October 6, 2026 14:00 - 15:00 UTC
Zoom Room #5

15:00 UTC

S406 - Selected Topics in AI and Data Science
Tuesday October 6, 2026 15:00 - 16:00 UTC
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
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #4

15:00 UTC

S504 - Additional Topics in Health and Biostatistics
Tuesday October 6, 2026 15:00 - 16:00 UTC
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
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #5

17:00 UTC

S119 - Statistical Methods and Applications 3
Tuesday October 6, 2026 17:00 - 18:00 UTC
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
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #5

17:00 UTC

S407 - Health and Biostatistics 2
Tuesday October 6, 2026 17:00 - 18:00 UTC
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
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #4

20:00 UTC

S313 - Education and Leadership 2
Tuesday October 6, 2026 20:00 - 21:00 UTC
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
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #3

21:00 UTC

S216 - Statistical Methods and Applications 2
Tuesday October 6, 2026 21:00 - 22:00 UTC
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
Tuesday October 6, 2026 21:00 - 22:00 UTC
Zoom Room #2

21:00 UTC

S315 - AI and Data Science 3
Tuesday October 6, 2026 21:00 - 22:00 UTC
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
Tuesday October 6, 2026 21:00 - 22:00 UTC
Zoom Room #3

22:00 UTC

S316 - AI and Data Science 4
Tuesday October 6, 2026 22:00 - 23:00 UTC
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
Tuesday October 6, 2026 22:00 - 23:00 UTC
Zoom Room #3
 
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