Modern Methods for Mediation Analysis
Organizer: Ruth Pfeiffer, National Cancer Institute
Chair: Sander Roberti, National Cancer Institute, NIH, HHS
Speakers:
Andriy Derkach, Memorial Sloan Kettering Cancer Center
Fan Li, Yale School of Public Health
Linda Valeri, Columbia University Mailman School of Public Health
Ruth Pfeiffer, National Cancer Institute

 

Advances in AI-powered Methods for Genomic Data Science
Organizer/Chair: Stephanie Hicks, Johns Hopkins University
Speakers:
Didong Li, University of North Carolina Chapel Hill
Wenpin Hou, Columbia University
Mingyao Li, University of Pennsylvania Perelman School of Medicine
Sunduz Keles, University of Wisconsin-Madison

 

Recent Advances in Personalized Decision-Making
Organizer: Wei Jin, Boston University
Chair: Lingxuan Kong, University of Michigan
Speakers:
Susan Murphy, Harvard University
Lu Wang, University of Michigan
Rui Miao, The University of Texas at Dallas
Wei Jin, Boston University

 

Healthy Eating, Healthy Living: How Statistical Thinking About Diet and Disease Can Shape More Fair and Contextual AI
Organizer: Sarah Lotspeich, Wake Forest University
Chair: Ashley Mullan, Vanderbilt University
Speakers:
Leslie McClure, St. Louis University
Sarah Lotspeich, Wake Forest University
Briana Joy K Stephenson, Harvard T.H. Chan School of Public Health
Madhumita (Bonnie) Ghosh-Dastidar, RAND Corporation

 

Statistical Foundations for Trustworthy AI in Biomedical Data Analysis
Organizer: Guanqun Cao, Michigan State University
Chair: Shuoyang Wang, University of Louisville
Speakers:
Lily Wang, George Mason University
Jeffrey Morris, University of Pennsylvania
Rajarshi Guhaniyogi, Texas A&M University
Muxuan Liang, University of Florida

 

Robust Statistical Methods for Health and Biomedical Studies
Organizer: Zehang Li, University of California, Santa Cruz
Chair: Qianyu Dong, University of California, Santa Cruz
Speakers:
Jiwei Zhao, University of Wisconsin-Madison
Liz Davis, University of Michigan
Leying Guan, Yale University
Zehang Li, University of California, Santa Cruz

 

From Biology to Causality: Mediation Methods for Omics in an AI-Augmented World
Organizer: Seungjun Ahn, Icahn School of Medicine at Mount Sinai
Chair: Zhigang Li, University of Florida
Speakers:
Huilin Li, New York University School of Medicine
Seungjun Ahn, Icahn School of Medicine at Mount Sinai
Yi Zhao, Indiana University School of Medicine
Lei Liu, Washington University in St. Louis

 

Embracing Next-Generation Clinical Trials: A Patient-Centric Approach
Organizer: Wei Wei, Yale School of Medicine
Chair: Satrajit Roychoudhury, Pfizer Inc
Speakers:
Ying Lu, Stanford University School of Medicine
Michael Kane, MD Anderson Cancer Center
Wei Wei, Yale School of Medicine
Discussant:
Jack Lee, University of Texas MD Anderson Cancer Center

 

Modern Data Science Methods for Detecting Optimal Treatment Rules in the Era of AI/ML
Organizer/Chair: Chixiang Chen, University of Maryland School of Medicine
Speakers:
Jingshen Wang, University of California, Berkeley
Liangyuan Hu, Rutgers University
Shujie Ma, University of California-Riverside
Lina Montoya, University of North Carolina at Chapel Hill

 

AI-Augmented Statistical Approaches for Early Detection and Patient Care in Alzheimer’s Disease
Organizer: Zheyu Wang, Johns Hopkins University
Chair: Fatema Shafie Khorassani, Boston University
Speakers:
Yates Coley, Kaiser Permanente Washington Health Research Institute
Zheyu Wang, Johns Hopkins University
Wenbo Wu, Johns Hopkins University
Haochang Shou, University of Pennsylvania

 

Applications of Deep Learning in Biomedical Research
Organizer/Chair: Subharup Guha, University of Florida
Speakers:
Yi Li, University of Michigan
Jingmao Li, Yale University
S. Ejaz Ahmed, Brock University, Canada
Xinzhou Guo, Hong Kong University of Science and Technology

 

Flexible Graphical Models for Omics Problems
Organizer/Chair: Souvik Seal, The Medical University of South Carolina
Speakers:
Pariya Behrouzi, Wageningen University and Research
Chang Su, Emory University
Arkaprava Roy, University of Florida
Satwik Acharyya, University of Alabama at Birmingham

 

Recent Developments in Nonparametric Statistical Inference using Machine Learning
Organizer: Brian Williamson, Kaiser Permanente Washington Health Research Institute
Chair: Gustavo Amorim, Vanderbilt University
Speakers:
Brian Williamson, Kaiser Permanente Washington Health Research Institute
Nima Hejazi, Harvard University
Mark van der Laan, University of California, Berkeley
Marlena Bannick, Seattle Children’s Research Institute

 

AI-Enhanced Clinical Decision-Making: Innovative Statistical Approaches for Clinical Applications
Organizer: Le Bao, Penn State University
Chair: Bingkai Wang, University of Michigan
Speakers:
Fei Wang, Weill Cornell Medicine
Sherry Wang, The University of Texas at Arlington
Yingqi Zhao, Fred Hutchinson Cancer Research Center
Wenyi Wang, University of Texas MD Anderson Cancer Center

 

Representation Learning and AI-Driven Inference for Biomedical Data Analysis
Organizer: Shengxian Ding, Yale University
Chair: Simiao Gao, Yale University
Speakers:
Xiao Wang, Purdue University
Zhengwu Zhang, University of North Carolina at Chapel Hill
Sandra Safo, University of Minnesota
Shengxian Ding, Yale University

 

Recent Methodological Advances in Spatial Omics in an AI-Augmented Era
Organizer/Chair: Yuehua Cui, Michigan State University
Speakers:
Jessica Li, University of California at Los Angles (UCLA)
Lulu Shang, MD Anderson Cancer Center
Stephanie Hicks, John Hopkins University
Hongyu Zhao, Yale University

 

Recent Advancement of Statistical Methods for Environmental Health Research
Organizer: Shanshan Zhao, NIEHS/NIH
Chair: Kecheng Li, NIEHS/NIH
Speakers:
Glen McGee, University of Waterloo
Veronica Berrocal, University of California, Irvine
Shelley Liu, Icahn School of Medicine at Mount Sinai
Shanshan Zhao, NIEHS/NIH

 

Innovation in Randomized Clinical Trials: Harnessing Modern Data Sources and Designs
Organizer/Chair: Fenghai Duan, Brown University School of Public Health
Speakers:
Rebecca Hubbard, Brown University School of Public Health
Andrea Troxel, NYU Grossman School of Medicine
Rui Feng, University of Pennsylvania
Christopher Schmid, Brown University School of Public Health

 

AI-Driven Statistical Methods for High-Dimensional Biomedical Data
Organizer/Chair: Debolina Chatterjee, Indiana University School of Medicine
Speakers:
Qiwei Li, The University of Texas at Dallas
Honglang Wang, Indiana University Indianapolis
Jun Li, University of Notre Dame
Xiaoqing Yu, Moffitt Cancer Center

 

Mediation Methods for Complex Structures in Alzheimer’s Disease and Beyond
Organizer/Chair: Yuxin Zhu, Johns Hopkins University
Speakers:
Yi Zhao, Indiana University School of Medicine
Chao Cheng, Washington University in St. Louis
Tianchen Qian, University of California, Irvine
Discussant:
Layla Parast, The University of Texas at Austin

 

Tree-Based Methods for Survival Outcomes: Heterogeneity, Dynamics, and Prediction
Organizer: Yuxin Zhu, Johns Hopkins University
Chair: Zhirui Fu, Emory University Rollins School of Public Health
Speakers:
Jon Steingrimsson, Brown University School of Public Health
Yifei Sun, Columbia University Mailman School of Public Health
Yuxin Zhu, Johns Hopkins University
Discussant:
Shuangge Ma, Yale School of Public Health

 

Leveraging External Information in the Design and Analysis of Clinical Trials in the AI Era
Organizer: Mei-Yin Polley, University of Chicago
Chair: Theodore Karrison, University of Chicago
Speakers:
Herbert Pang, Genentech/Roche
Mei-Yin Polley, University of Chicago
Lorenzo Trippa, Harvard T.H. Chan School of Public Health
Matthew Schipper, University of Michigan

 

Using AI Tools in Statistics and Data Science Education
Organizer: Anarina Murillo, Brown University
Chair: Alice Paul, Brown University
Speakers:
Andrew Spieker, Vanderbilt University Medical Center
Mine Cetinkaya-Rundel, Duke University
Anarina Murillo, Brown University
Travis Gerke, The Prostate Cancer Clinical Trials Consortium and cStructure, LLC

 

PANEL: Frontiers of Statistics: 2035 and Beyond
Organizer: Katherine Ensor, Rice University
Chair: Brittany Segundo, The National Academy of Science Engineering and Medicine
Speakers:
Katherine Ensor, Rice University
Lance Waller, Emory University
Lorin Crawford, Microsoft Research
Xihong Lin, Harvard University

 

Multiple Endpoints Multiplicity Control in Confirmatory Clinical Trials
Organizers: Haiwen Shi, FDA; Junheng Ma, FDA
Chair: Haiwen Shi, FDA
Speakers:
George Kordzakhia, Astra Zeneca
Frank Bretz, Novartis
Jian Kang, University of Michigan, Ann Arbor
Discussant:
Gene Pennello, FDA

 

Statistical Foundations for Data-Efficient Learning in the Age of AI
Organizer/Chair: Lin Wang, Purdue University
Speakers:
Nan Xi, AbbVie
Yang Ning, Cornell University
Kyunghee Han, University of Illinois Chicago
HaiYing Wang, University of Connecticut

 

Proximal Causal Inference: From Theory to Practice
Organizer: Grace Ringlein, Johns Hopkins Bloomberg School of Public Health
Chair: Harsh Parikh, Yale University
Speakers:
Grace Ringlein, Johns Hopkins Bloomberg School of Public Health
Xu Shi, University of Michigan School of Public Health
Yifan Cui, Zhejiang University
Rohit Bhattacharya, Williams College

 

Enhancing Clinical Trial Efficiency through Statistics, AI, and Collaborative Innovation
Organizer: Fei Chen, Johnson & Johnson Innovative Medicine
Chair: Kyle Wathen, Cytel
Speakers:
Inna Perevozskaya, BMS
Vlad Anisimov, Amgen
Forrest Williamson, Eli Lilly
Ziqian Geng, Abbvie

 

AI and Data Driven Approaches to Modern Challenges in Evidence Synthesis
Organizer: Lianne Siegel, University of Minnesota School of Public Health
Chair: Thomas Murray, University of Minnesota School of Public Health
Speakers:
Lifeng Lin, University of Arizona
Jiayi Tong, Johns Hopkins Bloomberg School of Public Health
Lianne Siegel, University of Minnesota School of Public Health
Discussant:
Christopher Schmid, Brown University School of Public Health

 

Statistical Innovations for Functional, Longitudinal, and Tensor Data from Wearable and Mobile Technologies
Organizer: Irina Gaynanova, University of Michigan
Chair: Luo Xiao, North Carolina State University
Speakers:
Julia Wrobel, Emory University
Scott Bruce, Texas A&M University
Irina Gaynanova, University of Michigan
Carmen Tekwe, Indiana University Bloomington

 

PANEL: Converting AI from a Buzzword to a Tangible Skill: Dos and Don’ts for Early-Career Statisticians
Organizer: Kimberly Webb, University of Pittsburgh
Chair: Megan McCabe, University of Alabama at Birmingham
Speakers:
Bhramar Mukherjee, Yale University
Qi Long, University of Pennsylvania
Wei Shen, Eli Lilly and Company
Gina-Marie Pomann, Duke University

 

State-of-the-Art AI-Guided Analysis of Neuroscience Data and Experiments
Organizer: Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
Chair: Robert Krafty, Emory University
Speakers:
Taki Russell Shinohara, University of Pennsylvania
Andrew Holbrook, UCLA
Eardi Lila, University of Washington
Sumanta Basu, Cornell University
Discussant:
Hernando Ombao, King Abdullah University of Science and Technology (KAUST)

 

Prediction-Guided Sample Selection in Clinical Trials: Statistical Innovation for Neurodegenerative Diseases
Organizer/Chair: Yorghos Tripodis, Boston University School of Public Health
Speakers:
Julia Gallini, Boston University School of Public Health
Matthew Scott, Boston University School of Public Health
Henry Bayly, Boston University School of Public Health
Discussant:
Alex Sverdlov, Novartis

 

PANEL: To Weight or Not to Weight? Representativeness in Real-World Population-Level Data
Organizer: Carly Brantner, Duke University
Chair: Laine Thomas, Duke University
Speakers:
Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
Irina Degtiar, Mathematica, Inc.
Haidong Lu, Yale School of Medicine
Carly Brantner, Duke University

 

Reinforcement Learning for Optimal Decisions in Public Health
Organizer: Justin Weltz, Santa Fe Institute
Chair: Grace Ringlein, Johns Hopkins University
Speakers:
Justin Weltz, Santa Fe Institute
Walter Dempsey, University of Michigan
Eric Laber, Duke University
Discussant:
Harsh Parikh, Yale University

 

Statistical Foundation in the AI-augmented Scientific Landscape: A New Deal
Organizer: Zhenke Wu, University of Michigan
Chair: Xingran Chen, University of Michigan, Ann Arbor
Speakers:
Catherine Chen, Stanford University
Tyler McCormick, University of Washington
Jessica Gronsbell, University of Toronto
Kathryn Roeder, Carnegie Mellon University

 

AI/Machine Learning for Rare Diseases
Organizers: Tiffany Tang, University of Notre Dame; Li Tang, Cleveland Clinic Foundation
Chair: Tiffany Tang, University of Notre Dame
Speakers:
Jaclyn Taroni, Childhood Cancer Data Lab of Alex's Lemonade Stand Foundation
Li Tang, Cleveland Clinic Foundation
Yusha Liu, University of North Carolina at Chapel Hill
Jiyuan Yang, St. Jude Children’s Research Hospital

 

Learning from Health Data: Complementary Perspectives from Statistics and AI
Organizer: Esra Kurum, University of California, Riverside
Chair: Yuchen Mao, NIH
Speakers:
Elizabeth Juarez-Colunga, University of Colorado Anschutz Medical Campus
Esra Kurum, University of California, Riverside
Chirag Patel, Harvard University
Rajeshwari Sundaram, NIH

 

Recent Advances in Clustering and Variable Selection for Longitudinal Data
Organizer/Chair: Mahlet Tadesse, Georgetown University
Speakers:
Marie Denis, UMR AGAP Institute CIRAD, France
Zihang Lu, Queen’s University, Canada
Naisyin Wang, University of Michigan, Ann Arbor
Luoying Yang, Bristol Myers-Squibb

 

From Theory to Implementation: Rethinking AI and Statistics, beyond the Black Box, for Biomedical Data
Organizer: Dipankar Bandyopadhyay, Virginia Commonwealth University
Chair: Inkoo Lee, University of Georgia
Speakers:
Na Bo, Virginia Commonwealth University
Debarghya Mukherjee, Boston University
Sheng Luo, Duke University
Dipankar Bandyopadhyay, Virginia Commonwealth University

 

A New Tune for Old Hymns: Integrating AI-Augmentation into Statistical Genomics
Organizers: Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Ai Ni, The Ohio State University
Chair: Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Speakers:
Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Ai Ni, The Ohio State University
Teng Fei, Memorial Sloan Kettering Cancer Center
Kevin He, University of Michigan

AI-Driven Statistical Innovations in Omics Research
Organizer: Liangliang Zhang, Case Western Reserve University
Chair: Jingyi (Jessica) Li, University of California, Los Angeles
Speakers:
Hsin-Hsiung Huang, University of Central Florida
Xiang Zhou, University of Michigan
Huang Lin, University of Maryland
Weihong Guo, Case Western Reserve University

 

Statistical Elements of AI-Driven Microbiome Analysis
Organizer: Zihan Zhu, Case Western Reserve University School of Medicine
Chair: Liangliang Zhang, Case Western Reserve University School of Medicine
Speakers:
Michael Wu, Fred Hutchinson Cancer Research Center
Himel Mallick, Weill Cornell Medical College
Gen Li, University of Michigan, Ann Arbor
Zihan Zhu, Case Western Reserve University School of Medicine

 

Multivariate Minds: Statistical Innovation for AI-Augmented Neuroimaging
Organizer: Megan Jones, Vanderbilt University
Chair: Xinyu Zhang, Vanderbilt University
Speakers:
Andrew Chen, Medical University of South Carolina
Yi Zhao, Indiana University School of Medicine
Benjamin Risk, Emory University
Megan Jones, Vanderbilt University

 

AI-Driven Statistical Methods for Biomedical Learning and Discovery
Organizer: Qi Long, University of Pennsylvania Perelman School of Medicin
Chair: Weijie Su, University of Pennsylvania
Speakers:
Qiao Liu, Stanford University
Jean Feng, University of California
Xiang Li, University of Pennsylvania
Zhengmian Hu, Adobe Research

 

AI in Medicine
Organizer/Chair: Xuan Bi, University of Minnesota
Speakers:
Xihong Lin, Harvard University
Annie Qu, UCSB
Xiaotong Shen, University of Minnesota
Weijie Su, University of Pennsylvania

 

Data Privacy and Trustworthiness
Organizer: Xuan Bi, University of Minnesota
Chair: Jiwei Zhao, University of Winsconsin-Madison
Speakers:
Jordan Awan, University of Pittsburgh
Xuan Bi, University of Minnesota
Tianxi Li, University of Minnesota
Yi Yu, University of Warwick

 

Advances in Statistical Methods for Genetics and Genomics
Organizer/Chair: Rui Feng, University of Pennsylvania
Speakers:
Debashis Ghosh, Colorado School of Public Health
Heping Zhang, Yale University
Jin Jin, University of Pennsylvania
Glen Satten, Centers for Disease Control and Prevention

 

Distribution Shift and Transfer Learning
Organizer/Chair: Jiwei Zhao, University of Wisconsin-Madison
Speakers:
Emily Hector, North Carolina State University
Yang Feng, New York University
Yang Ning, Cornell University
Peter Song, University of Michigan

 

Using AI Generated Predictions for Statistical Inference
Organizer: Jiwei Zhao, University of Wisconsin-Madison
Chair: Xuan Bi, University of Minnesota
Speakers:
Jungeum Kim, North Carolina State University
Xiaotian Hou, Rutgers University
Wenlong Ji, Stanford University
Jiwei Zhao, University of Wisconsin-Madison