March 27-30, 2022

Invited Preliminary Program

Invited Sessions

Recent Advances in Graphical Models: Methodology, Computation and Applications
Organizer & Chair: Anindya Bhadra, Purdue University

Speakers:
Marina Vannucci, Rice University
George Michailidis, University of Florida
Yang Ni, Texas A&M University
Veera Baladandayuthapani, University of Michigan

 

New Developments in Mediation Analyses for High-dimensional Complex Biomedical Data
Organizer & Chair: Annie Qu, University of California Irvine

Speakers:
Peter Song, University of Michigan
Lei Liu, Washington University in St. Louis
Yubai Yuan, University of California Irvine
Fei Xue, Purdue University

 

New Advances in Causal Inference for Time-to-Event Data
Organizer: Bo Lu, The Ohio State University
Chair: Xinyi Xu, The Ohio State University

Speakers:
Lu Tian, Stanford University
Eben Kenah, The Ohio State University
Oliver Dukes, Ghent University
Bo Lu, The Ohio State University

 

Methods for Estimating SARS-CoV-2 Seroprevalence
Organizer: Bonnie Shook-Sa, University of North Carolina at Chapel Hill
Chair: Michael Hudgens, University of North Carolina at Chapel Hill

Speakers:
Andrew Gelman, Columbia University
Samuel Rosin, University of North Carolina at Chapel Hill
Emma Accorsi, Harvard T.H. Chan School of Public Health
David Ritzwoller, Stanford University

 

Statistical Methods for High Density Neuronal Recordings
Organizers: Brian Caffo, Johns Hopkins; Hernando Ombao, KAUST
Chair: Brian Caffo, Johns Hopkins

Speakers:
Robert Krafty, Emory University
Hernando Ombao, KAUST
Damla Senturk, UCLA
Seonjoo Lee, Columbia University

 

Bayesian Innovations in Cancer Drug Development
Organizer & Chair: Brian Hobbs, The University of Texas

Speakers:
Yuan Ji, The University of Chicago
Emily Zabor, Cleveland Clinic
Alex Kaizer, University of Colorado
Xun Jiang, Amgen

 

Novel Statistical Approaches to Analyzing Wearable Devices Data in Biomedical Research
Organizer: Carmen Tekwe, Indiana University at Bloomington
Chair: Douglas Landsittel, Indiana University at Bloomington

Speakers:
Jarek Harezlak, Indiana University at Bloomington
Sneha Jadhav, Wake Forest University
Irina Gaynanova, Texas A&M University
Roger Zoh, Indiana University at Bloomington

 

Advances in Analysis of High-Dimensional Data in Biomedicine
Organizer & Chair: Cheng Cheng, St. Jude Children's Research Hospital

Speakers:
Qian Li, St. Jude Children's Research Hospital
Yuehua Cui, Michigan State University
Tanya Garcia, University of North Carolina at Chapel Hill
Cen Wu, Kansas State University

 

Collaborative Research Success: How to Build Your First Statistical Team
Organizer: Christina Mehta, Emory University
Chair: Renee' Moore, Drexel University

Speakers:
Christina Mehta, Emory University
Jesse Chittams, Clear Analytic Solutions, LLC
Emily Griffith, NC State University
Robert Podolsky, Beaumont Health

 

Statistical Methods for Mixtures in Epidemiology
Organizer: Daniel Kowal, Rice University
Chair: Katherine Ensor, Rice University

Speakers:
David Dunson, Duke University
Ander Wilson, Colorado State University
Lawrence Chillrud, Columbia University
Daniel Kowal, Rice University

 

New Developments in Spatially Resolved Cell Imaging Data
Organizer: Debashis Ghosh, Colorado School of Public Health
Chair: Souvik Seal, Colorado School of Public Health

Speakers:
Inna Chervoneva, Sidney Kimmel Medical College, Thomas Jefferson University
Simon Vandekar, Vanderbilt University
Thao Vu, Colorado School of Public Health
Elana Fertig, Johns Hopkins University

 

Current Developments in Adaptive Designs
Organizer: Haiwen Shi, FDA/CVM
Chair: Xiaoping (Janet) Jiang, FDA/CVM

Speakers:
Cyrus Mehta, Cytel Corporation
Ping Gao, Innovatio Statistics, Inc.
Xinyu Tang, FDA/CBER
Discussant: Joshua Chen, Sanofi Pasteur

 

Novel Data Science Approaches to Eliminate Health Disparities
Organizer: Hilary Aroke, University of Rhode Island
Chair: Ashley Buchanan, University of Rhode Island

Speakers:
Natallia Katenka, University of Rhode Island
Anarina Murillo, New York University
Hilary Aroke, University of Rhode Island
Discussant: John W. Jackson, Johns Hopkins Bloomberg School of Public Health

 

Environmental Health Meets Causal Inference
Organizer & Chair: Howard Chang, Emory University

Speakers:
Linda Valeri, Columbia University
Shu Yang, North Carolina State University
Joshua Keller, Colorado State University
Georgia Papadogeorgou, University of Florida

 

Estimation and Testing of Network Causal Effects: Modern Challenges and Recent Developments
Organizer & Chair: Hyunseung Kang, University of Wisconsin-Madison

Speakers:
Chan Park, University of Wisconsin-Madison
Betsy Ogburn, Johns Hopkins University
Michael Hudgens, University of North Carolina at Chapel Hill
Edo Airoldi, Temple University, The Broad Institute, Harvard University

 

Novel Methods for Spatial Environmental Exposures and Health
Organizer & Chair: Jenna Krall, George Mason University

Speakers:
Katherine Ensor, Rice University
Abhirup Datta, Johns Hopkins University
Veronica Berrocal, University of California, Irvine
Brisa Sanchez, Drexel University

 

Addressing High-dimensionality and Weak-signal Issues in Causal Inference
Organizer: Jiwei Zhao, University of Wisconsin-Madison
Chair: Trinetri Ghosh, University of Wisconsin-Madison

Speakers:
Yang Ning, Cornell University
Joey Antonelli, University of Florida
Yinchu Zhu, Brandeis University
Debashis Ghosh, University of Colorado Anschutz Medical Campus

 

The Art of Semiparametrics in the Pursuit of Knowledge Transfer for Investigating Population Heterogeneity
Organizer: Jiwei Zhao, University of Wisconsin-Madison
Chair: Qinglong Tian, University of Wisconsin-Madison

Speakers:
Jiwei Zhao, University of Wisconsin-Madison
Xinyi Xu, Ohio State University
Trinetri Ghosh, University of Wisconsin-Madison
Stijn Vansteelandt, Ghent University

 

Regression Models for Ordinal Response Data
Organizer & Chair: Jonathan Schildcrout, Vanderbilt University Medical Center

Speakers:
Paul Rathouz, Dell Medical School, The University of Texas at Austin
Jacob Maronge, The University of Texas MD Anderson Cancer Center
Bryan Shepherd, Vanderbilt University Medical Center
Thomas Stewart, Vanderbilt University Medical Center

 

Recent Developments in Joint Models of Longitudinal and Time-to-Event Data
Organizer: Joseph Ibrahim, University of North Carolina at Chapel Hill
Chair: Nate Bean, University of North Carolina at Chapel Hill

Speakers:
Dimitris Rizopoulos, Erasmus Medical Center Rotterdam
Ming-Hui Chen, University of Connecticut - Storrs
Joseph Ibrahim, University of North Carolina
Discussant: Jeremy Taylor, University of Michigan

 

Recent Advances in Data Integration in Neuroimaging and Genomics
Organizer: Jun Young Park, University of Toronto
Chair: Zhengwu Zhang, University of North Carolina

Speakers:
Haochang Shou, University of Pennsylvania Perelman School of Medicine
Jun Young Park, University of Toronto
Johann Gagnon-Bartsch, University of Michigan
Russell Shinohara, University of Pennsylvania Perelman School of Medicine

 

PANEL: Interdisciplinary Engagement as a Biostatistician: Maximizing Collaboration Skills
Organizers: Karissa Whiting, Memorial Sloan Kettering Cancer Center; Anna Eames Seffernick, Ohio State University
Chair: Julia Wrobel, University of Colorado-Anschutz Medical Campus

Speakers:
Rebecca Hubbard, University of Pennsylvania School of Medicine
Julia Sharp, Colorado State University
Daniel Sjoberg, Memorial Sloan Kettering Cancer Center
Hadley Wickham, RStudio; University of Auckland; Stanford University; Rice University
Dionne Price, FDA

 

Trailblazing SMART Design and Statistical Learning for Precision Health
Organizer & Chair: Kelley Kidwell, University of Michigan

Speakers:
Abdus Wahed, University of Pittsburgh
Lu Wang, University of Michigan
Holly Hartman, Case Western University
Discussant: Peter Thall, MD Anderson

 

Statistical Innovations for Polygenic Risk Scores
Organizer & Chair: Ken Rice, University of Washington

Speakers:
Matthew Conomos, University of Washington
Bryce Rowland, University of North Carolina at Chapel Hill
Gillian Belbin, Institute for Genomic Health, Icahn School of Medicine Mount Sinai
Discussant: Tamar Sofer, Harvard Medical School

 

Recent Advances in Survival Analysis for Large-Scale Complex Biomedical Data
Organizer & Chair: Kevin He, University of Michigan

Speakers:
Jeremy Taylor, University of Michigan
Noah Simon, University of Washington
Shuangge Ma, Yale University
Douglas Schaubel, University of Pennsylvania, Perelman School of Medicine

 

Recent Advances on the Restricted Mean Survival Time (RMST)
Organizer: Lu Mao, University of Wisconsin-Madison
Chair: Yi Chen, University of Wisconsin-Madison

Speakers:
Hajime Uno, Dana-Farber Cancer Institute/Harvard Medical School
Lihui Zhao, Northwestern University Feinberg School of Medicine
Rick Chappell, University of Wisconsin-Madison
Lu Mao, University of Wisconsin-Madison

 

Novel Technologies, Novel Experiments and Novel Statistical Methodologies in Brain Studies
Organizer: Mark Fiecas, University of Minnesota
Chair: Michele Guindani, University of California at Irvine

Speakers:
Uri Eden, Boston University
Hernando Ombao, King Abdullah University of Science and Technology
Meng Xu, University of Minnesota
Donatello Telesca, University of California, Los Angeles

 

Advanced Analytical Methods for mHealth Data
Organizer: Matthew Koslovsky, Colorado State University
Chair: Marina Vannucci, Rice University

Speakers:
Jeff Goldsmith, Columbia University
Matthew Koslovsky, Colorado State University
Eric Laber, Duke University
Andrew Leroux, University of Colorado Anschutz Medical Campus

 

Cutting Edge Statistics for Keeping your Microbiome Analyses Out of the Toilet
Organizer: Michael Wu, Fred Hutchinson Cancer Research Center and University of Washington
Chair: Wodan Ling, Fred Hutchinson Cancer Research Center

Speakers:
Anna Plantinga, Williams College
Yijuan Hu, Emory University
Pixu Shi, Duke University
Liangliang Zhang, University of Texas MD Anderson Cancer Center

 

Recent Developments of Spatio-temporal Models for Environmental Applications
Organizer & Chair: Mikyoung Jun, University of Houston

Speakers:
Yulia Gel, University of Texas at Dallas
Bo Li, University of Illinois at Urbana-Champaign
Catherine Calder, University of Texas at Austin
Huiyan Sang, Texas A&M University

 

Topics in Functional Data Analysis with Applications in Biosciences
Organizer: Rahul Ghosal, Johns Hopkins Bloomberg School of Public Health
Chair: Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health

Speakers:
Mark Meyer, Georgetown University
Salil Koner, North Carolina State University
Mengying You, Perelman School of Medicine, University of Pennsylvania
Rahul Ghosal, Johns Hopkins Bloomberg School of Public Health

 

Innovative Methods to Assess Mixtures of Chemical Toxicants on Health Outcomes
Organizer & Chair: Rajeshwari Sundaram, National Institute of Child Health and Human Development

Speakers:
Paul Albert, National Cancer Institute
Shelley Liu, Icahn School of Medicine at Mount Sinai
Abhisek Saha, National Institute of Child Health and Human Development
Shanshan Zhao, National Institute of Environmental Health Sciences

 

Three Decades of Bayesian Clinical Trial Designs: From Stopping Rules to Hierarchical Models for Precision Medicine
Organizer & Chair: Ruitao Lin, The University of Texas MD Anderson Cancer Center

Speakers:
Peter Thall, The University of Texas MD Anderson Cancer Center
Jianchang Lin, Takeda Pharmaceuticals
Thomas Braun, University of Michigan
Kert Viele, Berry Consultants

 

Recent Advances in Methods for Microbiome Data
Organizer & Chair: Shulei Wang, University of Illinois at Urbana-Champaign

Speakers:
James Morton, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Zhengzheng Tang, University of Wisconsin-Madison
Justin Silverman, Penn State University
Timothy Randolph, Fred Hutchinson Cancer Research Center

 

Recent Advances in Statistical Methods for Spatially-resolved Transcriptomics Data Analysis
Organizer & Chair: Stephanie Hicks, Johns Hopkins Bloomberg School of Public Health

Speakers:
Raphael Gottardo, Fred Hutch
Lulu Shang, University of Michigan
Jean Fan, Johns Hopkins University
Lukas Weber, Johns Hopkins Bloomberg School of Public Health

 

Bayesian Methods for Complex High-Dimensional Imaging Data
Organizer: Suprateek Kundu, The University of Texas MD Anderson Cancer Research Center
Chair: Xin Ma, Emory University

Speakers:
Jeffrey Morris, University of Pennsylvania
Dustin Pluta, Rice University
Suprateek Kundu, The University of Texas MD Anderson Cancer Research Center
Zhengwu Zhang, University of North Carolina at Chapel Hill

 

The COMPILE Consortium: Statistical Design Innovation and Implementation in the Time of a Pandemic
Organizer & Chair: Thaddeus Tarpey, New York University

Speakers:
Andrea Troxel, New York University
Danni Wu, New York University
Mengling Liu, New York University
Hyung Park, New York University

 

Distributional Data Analysis: Methods and Applications in Wearables and Neuroimaging
Organizer: Vadim Zipunnikov, Johns Hopkins University
Chair: Ahbirup Datta, Johns Hopkins University

Speakers:
Hans Muller, University of California at Davis
Alexander Petersen, University of California at Santa Barbara
Vadim Zipunnikov, Johns Hopkins University
Bohao Tang, Johns Hopkins University

 

Statistical Challenges and Advances in Integrative Analysis of Multi-omics Data
Organizer: Xuelin Huang, University of Texas MD Anderson Cancer Center
Chair: Sunyi Chi, University of Texas MD Anderson Cancer Center

Speakers:
Lin Chen, The University of Chicago
Guanghua Xiao, University of Texas Southwestern Medical Center
Peng Wei, The University of Texas MD Anderson Cancer Center
Ying Ma, University of Michigan

 

New Graphical Model Approaches for Robust Inference of Individualized Multi-Omic Networks
Organizer & Chair: Yang Ni, Texas A&M University

Speakers:
Ali Shojaie, University of Washington
Bani Mallick, Texas A&M University
Christine Peterson, MD Anderson Cancer Center
Anindya Bhadra, Purdue University

 

Precision Medicine: New Methods and Innovative Applications
Organizer & Chair: Yichuan Zhao, Georgia State University

Speakers:
Haoda Fu, Eli Lilly and Company
Qi Long, University of Pennsylvania
Yuanjia Wang, Columbia University
Yingqi Zhao, Fred Hutchinson Cancer Research Center

 

New Topics in Analysis of Microbiome Data
Organizer & Chair: Yijuan Hu, Emory University

Speakers:
Hongzhe Li, University of Pennsylvania
Michael Wu, Fred Hutchinson Cancer Research Center
Huang Lin, National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH)
Ni Zhao, Johns Hopkins University

 

Statistical Methods Using External and Real-World Evidence (RWE) for Clinical Trials
Organizer & Chair: Yuan Ji, The University of Chicago

Speakers:
Peter Müller, The University of Texas-Austin
Lorenzo Trippa, Harvard University
Satrajit Roychoudhury, Pfizer Inc.
Tianjian Zhou, Colorado State University

 

Statistical Methods for Single-Cell Sequencing Data
Organizer & Chair: Yuchao Jiang, University of North Carolina at Chapel Hill

Speakers:
Michael Love, University of North Carolina at Chapel Hill
Kathryn Roeder, Carnegie Mellon University
Nancy Zhang, University of Pennsylvania
Xiang Zhou, University of Michigan

 

Modern Tree-integrative Statistical Methods for Biomedical and Public Health Studies
Organizer: Zhenke Wu, Department of Biostatistics, University of Michigan, Ann Arbor
Chair: Mengbing Li, Department of Biostatistics, University of Michigan, Ann Arbor

Speakers:
Gen Li, Department of Biostatistics, University of Michigan, Ann Arbor
Yi Zhao, Indiana University
Sarah Teichman, University of Washington
Marc Suchard, UCLA

 

Advanced in Single Cell Data Analysis Using Statistical Methods and Machine Learning
Organizer & Chair: Ziyi Li, The University of Texas MD Anderson Cancer Center

Speakers:
Yuchao Jiang, University of North Carolina at Chapel Hill
Hao Wu, Emory University
Peng Qiu, Georgia Institute of Technology
Sha Cao, Indiana University

 

IMS Invited Sessions

Data-Driven Discovery and Decision-Making
Organizer: Xingyuan Fang, Pennsylvania State University

Speakers:
Junwei Lu, Harvard University
Michael Rosenblum, Johns Hopkins University
Mark van der Laan, UC Berkeley
Peter Norwood, North Carolina State University

 

New Data Science Advances in Imaging
Organizer: David Matteson, Cornell University

Speakers:
Nicole A. Lazar, Pennsylvania State University
Tingting Zhang, University of Pittsburgh
Sean L. Simpson, Wake Forest School of Medicine
Benjamin B. Risk, Emory University

 

Recent Advances on Modeling High-dimensional Data
Organizer: Runze Li, The Pennsylvania State University

Speakers:
Xizhen Cai, Williams College
Yingying Fan, University of Southern California
Yang Feng, New York University
Lexin Li, University of California at Berkeley

 

New Advances on Statistical Methods for Optimal Treatment Regimes
Organizer: Haoda Fu, Eli Lilly and Company

Speakers:
Michael Kosorok, University North Carolina
Annie Qu, University of California, Irvine
Yufei Liu, University of North Carolina
Lan Wang, University of Miami

 

Recent Advances of High-dimensional and Robust Inference for Complex Data
Organizer: Wenxin Zhou, University of California at San Diego

Speakers:
Jelena Bradic, University of California at San Diego
Jingshen Wang, University of California at Berkeley
Kean Ming Tan, University of Michigan
Ying Zhu, University of California at San Diego

 

Modern Methods for Estimation and Inference
Organizer: Yiyuan She, Florida State University

Speakers:
Zhao Ren, University of Pittsburgh
Yuan Zhang, Ohio State University
Zhihua Su, University of Florida
Yiyuan She, Florida State University

 

Statistical Methods for Causal Inference and Personalized Treatment in Big Observational Data
Organizer: Qi Zheng, University of Louisville

Speakers:
Qi Zheng, University of Louisville
Ruoqing Zhu, University of Illinois at Urbana-Champaign
Maiying Kong, University of Louisville
Yifan Cui, University of Pennsylvania

 

Analysis of Complex Survival Data
Organizer: Lan Wang, University of Miami

Speakers:
Yi Li, University of Michigan
Wenbin Lu, North Carolina State University
Jun Yan, University of Connecticut
Bin Nan, University of California, Irvine

 

Advanced in High-Dimensional Data Analysis
Organizer: Ming Yuan, Columbia University

Speakers:
TBA