Loading…

Registration opens August 15th at www.idwsds.org.
Venue: Zoom Room #5 clear filter
Tuesday, October 6
 

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

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

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
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 →
Tuesday October 6, 2026 18:00 - 19:00 UTC
Zoom Room #5

20:00 UTC

S506 - Recent Advances in Sequential Inference
Tuesday October 6, 2026 20:00 - 21:00 UTC
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 →
Tuesday October 6, 2026 20:00 - 21:00 UTC
Zoom Room #5

22:00 UTC

S508 - Statistical Methods and Applications in One Health
Tuesday October 6, 2026 22:00 - 23:00 UTC
This session will showcase statistical methods and data-driven approaches for One Health, reflecting the interconnected health of humans, animals, and the environment. Presentations by women graduate students in statistics will highlight innovative methodological and applied research across One Health domains, spanning the development and application of statistical methods for handling complex, high-dimensional, and heterogeneous data, improving prediction and inference, and addressing uncertainty in human, animal, and environmental health systems. The session also provides a platform for emerging researchers to share their work, engage with the statistical community, and foster collaboration and mentorship.
Speakers
avatar for Sonja Friesen

Sonja Friesen

University of Guelph
Sonja graduated from the University of Manitoba with a BSc in Data Science with a minor in Biological Sciences and recently began a Master's in Statistics with a One Health Concentration at the University of Guelph. She enjoys working on any project that combines health care, R programming... Read More →
avatar for Ayisha Cok

Ayisha Cok

University of Guelph
Ayisha N. COK is a Ph.D. student in Statistics at the University of Guelph. Her research focuses on developing statistical methods for high-dimensional biomedical data, with interests in measurement error, genotype imputation, meta-analysis, Bayesian methods, and integrative data... Read More →
avatar for Heshani Mendis

Heshani Mendis

University of Manitoba
Heshani Mendis is an MSc student in Statistics at the University of Manitoba, Winnipeg, Canada. Her research interests lie in statistical machine learning, with a focus on tree-based ensemble methods and flexible splitting criteria for random forests. Her current work introduces a... Read More →
avatar for Nimsara Dissanayaka

Nimsara Dissanayaka

University of Guelph
Nimsara Dissanayaka a PhD student in Applied Statistics at the University of Guelph. Her research focuses on circular data analysis mainly the development of circular regression models, model assessment, and prediction. She is particularly interested in environmental applications... Read More →
Chairs/Hosts
EA

Elif Acar

University of Guelph
Organizers
Tuesday October 6, 2026 22:00 - 23:00 UTC
Zoom Room #5
 
  • Filter By Date
  • Filter By Venue
  • Filter By Type
  • Country
  • Session ID
  • Timezone


Share Modal

Share this link via

Or copy link

Filter sessions
Apply filters to sessions.