It's All About the Estimand: Asking the Right Questions to Best Inform Health Policy Decisions
Organizer/Chair: Nandita Mitra, University of Pennsylvania
Speakers:
Nicholas Seewald, University of Pennsylvania
Laura Hatfield, NORC
Gary Hettinger, University of Pennsylvania
Laura Forastiere, Yale University

 

Causal Inference at the Frontier of Genetics and Genomics
Organizer/Chair: Ting Ye, University of Washington
Speakers:
Qingyuan Zhao, University of Cambridge
Wei Pan, University of Minnesota
Hyunseung Kang, University of Wisconsin-Madison
Timothy Barry, Harvard University

 

Advanced Basket and Platform Trial Designs for Efficient Drug Development
Organizers: Kentaro Takeda, Astellas; Yeonhee Park, University of Wisconsin-Madison
Chair: Yixin Ren, Merck
Speakers:
Shufang Liu, Gilead Science
Chengxue Zhong, Boehringer Ingelheim
Cindy Lu, Astrazeneca
Kentaro Takeda, Astellas

 

Methodological Innovation in Rare Diseases Clinical Trials
Organizer/Chair: Geert Molenberghs, Hasselt University and KU Leuven, Belgium
Speakers:
Ralf-Dieter Hilgers, University Clinic, Aachen University, Germany
Margaux Delporte, KU Leuven, Belgium
Andrew Hooker, Uppsala University, Sweden
Martin Posch, Medical University of Vienna, Austria

 

The CDC's Center for Forecasting and Outbreak Analytics Insight Net: Building Effective Partnerships to Grow US Modeling and Analytic Capacity
Organizer/Chair: Natalie Dean, Emory Rollins School of Public Health
Speakers:
Laura White, Boston University
Lior Rennert, Clemson University
Ravi Goyal, University of California San Diego
Will Townes, Carnegie Mellon University

 

Statistical Methods for Female Health: From Functional Data Approaches to Hierarchical Modeling
Organizer: Carly Brantner, Duke University
Chair: Lily Koffman, Johns Hopkins University
Speakers:
Madison Stoms, Columbia University
Jeff Goldsmith, Columbia University
Carly Brantner, Duke University
Jessica Freemas, Kynisca Innovation Hub

 

Statistical Consideration and Challenges with Survival Estimands in Clinical Trial
Organizer: Kaiyi Chen, Eli Lilly and Company
Chair: Yu Du, Eli Lilly and Company
Speakers:
Kaiyi Chen, Eli Lilly and Company
Chen Hu, Johns Hopkins University
Tuo Wang, Eli Lilly and Company
Yuxin Zhu, Johns Hopkins University

 

Statistical Innovations to Address Non-Adherence in Clinical Trials
Organizer: Roee Gutman, Brown University
Chair: Gauri Kamat, Brown University
Speakers:
Anthony Sisti, Blue Cross Blue Shield of MA
Nicole Pashley, Department of Statistics at Rutgers University
Arman Sabbaghi, Unlearn.AI
Roee Gutman, Department of Biostatistics, Brown University

 

Interdisciplinary Innovations in Biomedical Data Analysis
Organizer/Chair: Shuoyang Wang, University of Louisville
Speakers:
Amita Manatunga, Emory University
Eric Lock, University of Minnesota
Yize Zhao, Yale University
Li Chen, University of Florida

 

PANEL: Collaboration 101: What a Scientist Seeks in a Statistician vs What a Statistician Seeks in a Scientist
Organizers: Ashley Mullan, Vanderbilt University; Jiangmei (Ruby) Xiong, Vanderbilt University
Chair: John Bassler, The University of Alabama at Birmingham
Speakers:
Kaleab Abebe, Center for Biostatistics & Qualitative Methodology, University of Pittsburgh School of Medicine
Elizabeth Chase, RAND
Deborah Wendell, LSU Health Sciences Center New Orleans, Louisiana Department of Health
James Cunningham, Department of Psychology, Cornell University

 

Addressing Health Disparities with Integrated Data Solutions
Organizer/Chair: Tian Gu, Columbia University
Speakers:
Yuan Chen, Memorial Sloan Kettering Cancer Center
Fatema Shafie Khorassani, Boston University
Prasad Patil, Boston University
Kentaro Hoffman, University of Washington

 

PANEL: Academic Leadership Avenues and Advantages for Data-Driven Leaders
Organizer/Chair: Kimberly Sellers, Statistics Department, NC State University
Moderator: Kimberly Sellers, Statistics Department, NC State University
Speakers:
Monica Jackson, American University
Talithia Williams, Harvey Mudd College
Emma Benn, Founding Director of the Center for Scientific Diversity, Icahn School of Medicine at Mount Sinai
Scarlett Bellamy, Department of Biostatistics, Boston University School of Public Health
Felicia Simpson, Department of Mathematics, Winston-Salem State University

 

Integrative Analysis of Biomedical Data for Advanced Predictive Modeling in Health
Organizer: Yu Gu, The University of Hong Kong
Chair: Yangjianchen Xu, University of Waterloo
Speakers:
Tian Gu, Columbia University
Shu Jiang, Washington University in St. Louis
Jessica Gronsbell, University of Toronto
Kin-yau Wong, The Hong Kong Polytechnic University

 

Models for Multiple Exposures with a Focus on Group-Specific Associations
Organizer/Chair: Sally Thurston, University of Rochester
Speakers:
Allison Kupsco, Columbia University Mailman School of Public Health
Shelley Liu, Icahn School of Medicine at Mount Sinai
Jonathan Klus, University of Rochester
Glen McGee, University of Waterloo

 

Novel Development of Hidden Markov Models for Application in Medicine, Ecology, and Astronomy
Organizer: Vianey Leos Barajas, University of Toronto
Chair: Sofia Ruiz Suarez, University of Toronto
Speakers:
Emmett Kendall, North Carolina State University
J. Arturo Esqiuvel, University of Toronto
Vinky Wang, University of British Columbia
Marie Auger-Méthé, University of British Columbia

 

Memorial Session: Richard M. Simon
Organizer/Chair: Susan Ellenberg, University of Pennsylvania
Speakers:
Boris Freidlin, National Cancer Institute
Myong-Hee Sung, National Institute on Aging, NIH
Noah Simon, University of Washington
Eric Polley, University of Chicago

 

Missing Data and Multiple Imputation and their Applications
Organizer/Chair: Haiwen Shi, FDA/CDER
Speakers:
Paul Imbriano, FDA/CDER
Lucy McGowan, Wake Forest University
Chiu-Hsieh Hsu, University of Arizona
Fang Liu, Merck Research Laboratories

 

Advanced Statistical Methods for Electronic Health Records: Challenges and Solutions
Organizer: Jungwun Lee, Boston University
Chair: Ofer Harel, University of Connecticut
Speakers:
Jungwun Lee, Boston University
Luke Benz, Harvard University
Joochul Lee, Auburn University
Jianmin Chen, University of Pennsylvania

 

Interdisciplinary Microbiome Research: Statistical Methodology and Computational Tools
Organizer: Kim-Anh Do, University of Texas M.D. Anderson Cancer Center
Chair: Christine Peterson, University of Texas M.D. Anderson Cancer Center
Speakers:
Liangliang Zhang, Case Western Reserve University
Yushu Shi, Weill Cornell University of Medicine
Kyu Ha Lee, Harvard University
Jun Chen, Mayo Clinic

 

Advancing Joint Modeling: Innovative Solutions Across Biomedical Research
Organizers: Esra Kurum, University of California, Riverside; Rajeshwari Sundaram, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health
Chair: Yuchen Mao, University of South Carolina
Speakers:
Zhigang Li, University of Florida
Madeline Abbott, University of Michigan
Rajeshwari Sundaram, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health
Esra Kurum, University of California, Riverside

 

Large Language Models in Biomedical Data Science
Organizer: Bingxin Zhao, Department of Statistics and Data Science, University of Pennsylvania–Wharton School
Chair: Xiaochen Yang, Department of Statistics, Purdue University
Speakers:
Wenpin Hou, Department of Biostatistics, Columbia University – Mailman School of Public Health
Suyash Shringarpure, 23andme Inc.
Zhi Huang, Stanford University
Chong Wu, Department of Biostatistics, MD Anderson Cancer Center

 

Modern Statistical Challenges of Electronic Health Records Data
Organizer/Chair: Benjamin French, Vanderbilt University Medical Center
Speakers:
Rebecca Hubbard, Brown University
Yeji Ko, Vanderbilt University
Emily Getzen, University of Pennsylvania
Xu Shi, University of Michigan

 

Statistical Genetics and Neuroimaging Phenotypes
Organizer/Chair: Souvik Seal, Medical University of South Carolina
Speakers:
Hongtu Zhu, University of North Carolina at Chapel Hill
Selena Wang, Indiana University
Jun Young Park, University of Toronto
Dipnil Chakraborty, Bristol Myers Squibb

 

Causal Mediation Analysis in Biomedical Data Science
Organizer/Chair: Lili Liu, Washington University in St. Louis
Speakers:
Fei Xue, Purdue University
Peter Song, University of Michigan
Huilin Li, NYU Grossman School of Medicine
Lili Liu, Washington University in St. Louis

 

Innovative Data Harmonization Methods to Handle Discordant Outcomes Across Data Sources
Organizer: Hwanhee Hong, Department of Biostatistics, Duke University
Chair: Qiao Wang, Duke University
Speakers:
Elaona Lemoto, Department of Biostatistics and Bioinformatics, Duke University
Harsh Parikh, Department of Biostatistics, Johns Hopkins University
Amiremad Ghassami, Department of Mathematics and Statistics, Boston University
Issa Dahabreh, Department of Epidemiology, Harvard University

 

Novel Statistical and Computational Methods for Metagenomic Data
Organizer: Rebecca Deek, University of Pittsburgh
Chair: Sarah Weinstein, Temple University
Speakers:
Claudia Solís-Lemus, University of Wisconsin – Madison
Fengzhu Sun, University of Sothern California
Gen Li, University of Michigan – Ann Arbor
Rebecca Deek, University of Pittsburgh

 

Going Beyond the Norm: Addressing Real World Assumption Violations in Statistical Methodology
Organizer: Maricela Cruz, Kaiser Permanente Washington Health Research Institute; Department of Biostatistics, University of Washington
Chair: Brian Williamson, Kaiser Permanente Washington Health Research Institute; Department of Biostatistics, University of Washington
Speakers:
Michelle Nuño, Department of Population and Public Health Sciences, University of Southern California
Maricela Cruz, Kaiser Permanente Washington Health Research Institute; Department of Biostatistics, University of Washington
Navneet Hakhu, Department of Statistics, University of California, Irvine; Department of Biostatistics, Harvard T.H. Chan School of Public Health
Mary Ryan, Department of Population Health Sciences, Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison

 

PANEL: Advancing Mid-Level Collaborative Biostatisticians in Historically Marginalized Groups: Challenges, Recommendations, and Strategies
Organizer: Alexandra Hanlon, Center for Biostatistics and Health Data Science (CBHDS); iTHRIV Research Methods Core Professor of Practice; Virginia Tech
Chair: Emmanuel Nartey, Center for Biostatistics and Health Data Science, Virginia Tech
Speakers:
Ana Ortega-Villa, Branch Division of Clinical Research, National Institute of Allergy and Infectious Diseases
Alicia Lozano, Center for Biostatistics and Health Data Science, Virginia Tech
Gina-Maria Pomann, Department of Biostatistics and Bioinformatics; Director, CTSI Biostatistics, Epidemiology and Research Design (BERD) Methods Core, Duke University School of Medicine Ronnie Sebro, Department of Biostatistics and Musculoskeletal Radiology, Mayo Clinic

 

Challenges and Solutions for the Estimation of Vaccine Effectiveness and the Test Negative Design
Organizer/Chair: Mireille Schnitzer, Université de Montréal
Speakers:
Denis Talbot, Université Laval
Natalie Dean, Emory University
Cong Jiang, Harvard University and Université de Montréal
Bingkai Wang, University of Michigan

 

Quantile and Distributional Approaches in mHealth
Organizer: Walter Dempsey, University of Michigan
Chair: Irina Gaynanova, University of Michigan
Speakers:
Irina Gaynanova, University of Michigan
Vadim Zipunnikov, Johns Hopkins University
Lan Luo, Rutgers University
Walter Dempsey, University of Michigan

 

Pipelines, Processes, and Presentations: How to Manage a Collaborative Biostatistics Group
Organizer: Nicole Butera, George Washington University
Chair: Frederick Boehm, South Dakota State University
Speakers:
Alexandra Hanlon, Virginia Tech
Gail Potter, National Institute of Allergy and Infectious Disease
Lorin Crawford, Microsoft Research
Scott Parrott, Rutgers University

 

Methods and Outcomes for LGBTQIA+ Individuals
Organizer: Daphna Harel, NYU
Chair: Raphiel Murden, Emory
Speakers:
Daphna Harel, NYU
George Perrett, NYU
Daniel Alohan, Emory
Stephanie Cook, NYU

 

New Frontiers of Single-Cell Biology, Fueled by Advancements in Technology
Organizer: Kevin Lin, Department of Biostatistics, University of Washington
Chair: Eardi Lila, Department of Biostatistics, University of Washington
Speakers:
David van Dijk, Department of Medicine and Computer Science, Yale University
Pei-Hsun Wu, John Hopkins University, Institute for Nanobiotechnology
Rohit Singh, Department of Biostatistics & Bioinformatics; Department of Electrical and Computer Engineering; Duke University
Kevin Lin, Department of Biostatistics, University of Washington

 

Integrating Artificial Intelligence and Novel Trial Designs Towards Advancing Medical Research
Organizer/Chair: Waverly Wei, University of Southern California, Department of Data Sciences and Operations
Speakers:
Jingshen Wang, Division of Biostatistics, University of California – Berkeley
Lorenzo Trippa, Department of Biostatistics, Harvard University
Ting Ye, Department of Biostatistics, University of Washington
Junwei Lu, Department of Biostatistics, Harvard University

 

Evaluating Scientific Validity of Forensic Science Methods Used in Criminal Courts
Organizer: Michael Rosenblum, Professor of Biostatistics, Johns Hopkins University
Chair: John McGready, Department of Biostatistics, Johns Hopkins University
Speakers:
Danica Ommen, Department of Statistics, Iowa State University
Amanda Luby, Department of Statistics, Carleton College
Susan Vanderplas, Department of Statistics, University of Nebraska–Lincoln
Michael Rosenblum, Department of Biostatistics, Johns Hopkins University

 

Cutting-Edge Advances in Modeling Exposure Mixtures: Machine Learning, Causal Inference, and Sensitivity Analysis
Organizer: Zhen Chen, Biostatistics and Bioinformatics Branch, National Institute of Child Health and Human Development, National Institutes of Health
Chair: Ruijin Lu, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis
Speakers:
Howard Chang, Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University
Alex Keil, Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute
Joseph Antonelli, Department of Statistics, the University of Florida
Maddy St Ville, Biostatistics and Bioinformatics Branch, National Institute of Child Health and Human Development, National Institutes of Health

 

Modern Approaches in Latent Variable Modeling with Application Focus in Alzheimer's Disease
Organizer: Zheyu Wang, Johns Hopkins University
Chair: Yizhen Xu, University of Utah
Speakers:
Changgee Chang, Indiana University
Zheyu Wang, Johns Hopkins University
John Hanfelt, Emory University
Yuanjia Wang, Columbia University

 

Methodological Considerations for the Design and Analysis of Observational Studies Reliant on Electronic Health Records Data
Organizer/Chair: Pamela Shaw, Kaiser Permanente Washington Health Research Institute
Speakers:
Fangya Mao, Division of Cancer Epidemiology and Genetics, National Cancer Institute
Gustavo Amorim, Vanderbilt University Medical Center
Brian Williamson, Kaiser Permanente Washington Health Research Institute
Mark van der Laan, University of California, at Berkeley

 

Innovative Strategies for Integrating Epidemiology and Biostatistics in Cervical Cancer Screening
Organizer/Chair: Fangya Mao, National Cancer Institute
Speakers:
Nicolas Wentzensen, National Cancer Intitute
Gene Pennello, Food and Drug Administration
Li Cheung, National Cancer Institute
Nicole Campos, Harvard University

 

Advanced Statistical Methods for Integrative Analysis of Spatially Resolved Transcriptomics Data
Organizer: Ying Ma, Department of Biostatistics, Brown University
Chair: Huimin Cheng, Department of Biostatistics, Boston University
Speakers:
Xiuwei Zhang, School of Computational Science and Engineering, Georgia Institute of Technology
Susmita Datta, Department of Biostatistics, University of Florida
Lukas Weber, Department of Biostatistics, Boston University
Dongjun Chung, Department of Biomedical Informatics, Ohio State University

 

Challenges and Methodological Advances in Utilizing Big and Small Data for Depression Treatment
Organizer: Samprit Banerjee, Weill Cornell Medicine
Chair: Arindam RoyChoudhury, Weill Cornell Medicine
Speakers:
Samprit Banerjee, Weill Cornell Medicine
Wenna Xi, Weill Cornell Medicine
Soohyun Kim, Weill Cornell Medicine
Younghoon Kim, Cornell University

 

Embracing the Blessings of Multiple Data Sources: Model Flexibility, Efficiency and Privacy
Preservation Organizer/Chair: Lu Xia, Department of Statistics and Probability, Michigan State University
Speakers:
Nilanjan Chatterjee, Department of Biostatistics and School of Medicine, Johns Hopkins University
Kevin He, Department of Biostatistics, University of Michigan
Xiudi Li, Division of Biostatistics, School of Public Health, University of California — Berkeley
Chixiang Chen, Department of Epidemiology and Public Health, University of Maryland School of Medicine

 

Precision in EHR Data: Overcoming Challenges of Measurement Error in Health Outcomes
Organizer/Chair: Lin Ge, Harvard T.H. Chan School of Public Health
Speakers:
Jue Hou, University of Minnesota School of Public Health
Bhramar Mukherjee, Yale University School of Public Health
Bryan Shepherd, Vanderbilt University Medical Center
Molin Wang, Harvard T.H. Chan School of Public Health

 

PANEL: AI and Statistics: Challenges and Opportunities
Organizer/Chair: Amita Manatunga, Emory University
Speakers:
Xihong Lin, Harvard University
Jeff Leek, Fred Hutch Cancer Center
Tian Zheng, Columbia University

 

Harnessing the Potential of Recent Artificial Intelligence Advances in Solving Complex Biomedical Problems
Organizer: Dipankar Bandyopadhyay, Virginia Commonwealth University
Chair: Inkoo Lee, University of Georgia
Speakers:
Xuan Wang, University of Utah
Abhirup Datta, Johns Hopkins University
Yong Chen, University of Pennsylvania
Dipankar Bandyopadhyay, Virginia Commonwealth University

Roles of Statistical Methods and Theory in Artificial Intelligence
Organizer & Chair: Hongzhe Li, University of Pennsylvania
Speakers:
Weijie Su, University of Pennsylvania
Xiaotong Shen, University of Minnesota
Jelena Bradic, University of California, San Diego
Junwei Lu, Harvard University

 

Statistical Methods for Single Cell Genomics Data Integration
Organizer: Hongzhe Li, University of Pennsylvania
Chair: Jin Jin, University of Pennsylvania
Speakers:
Hongkai Ji, Johns Hopkins University
Mengjie Chen, University of Chicago
Jichun Xie, Duke University

 

Statistical Advancement in Wearable Devices, Brain Connectivity, and Domain Adaptation
Organizer/Chair: Xuan Bi, Carlson School of Management, University of Minnesota
Speakers:
Annie Qu, University of California, Irvine
Heping Zhang, Yale University
Emily Hector, North Carolina State University
Jiwei Zhao, University of Wisconsin

 

Unraveling the Mysteries of Space and TIME: Statistical Analysis of Spatial Proteomics Data
Organizer: Michael Wu, Fred Hutchison Cancer Center
Chair: Amarise Little, Fred Hutchinson Cancer Center
Speakers:
Julia Wrobel, Emory University
Souvik Seal, Medical University of South Carolina
Xiyu Peng, Texas A&M University
Sarah Samorodnitsky, Fred Hutchison Cancer Center

 

Recent Advances in Transfer Learning for Biomedical Data
Organizer/Chair: Himel Mallick, Weill Cornell Medicine
Speakers:
Hongzhe Li, University of Pennsylvania
David Dunson, Duke University
Ye Tian, Columbia University
Himel Mallick, Weill Cornell Medicine

 

Statistical Innovation in Data Science
Organizer/Chair: Rong Ma, Harvard University
Speakers:
Emmanuel Candes, Stanford University
Rafael Irizarry,, Harvard University
Liza Levina, Professor, University of Michigan
Sunduz Keles, University of Wisconsin - Madison

 

Inference and Causality for Modern AI Methods
Organizer/Chair: Junwei Lu, Harvard University
Speakers:
Lexin Li, Professor, University of California, Davis
Mladen Kolar, University of Southern California
Yin Jing, Stanford University
Weijing Tang, Carnegie Mellon University

 

Generative Data Science
Organizer/Chair: Guang Cheng, University of California, Los Angeles
Speakers:
Guang Cheng, University of California, Los Angeles
Xiaofeng Lin, University of California, Los Angeles
Jimeng Sun (tentative), University of Illinois Urbana-Champagne
Thomas Strohmer (tentative), University of California, Davis

 

Advances in Modern Causal Inference
Organizer/Chair: Edward Kennedy, Carnegie-Mellon University
Speakers:
Yen-Chi Chen, University of Washington
Ivan Diaz, New York University
Edward Kennedy, Carnegie Mellon University
Pragya Sur, Harvard University

 

Veridical (Trustworthy) Data Science for Biomedical Problems
Organizers: Tiffany Tang, University of Notre Dame; Ana Maria Kenney, University of California – Irvine
Chair: Ana Maria Kenney, University of California – Irvine
Speakers:
Rong Ma, Department of Biostatistics, Harvard University
Tiffany Tang, Department of Applied and Computational Mathematics and Statistics, University of Notre Dame
Susobhan Ghosh, Department of Computer Science, Harvard University
Discussant:
Li Tang, Department of Biostatistics, St. Jude Children's Research Hospital