Biostatistics Branch Seminar Series
The Biostatistics Branch (BB) hosts an ongoing seminar series.
May 2025 – “Model-Free Approaches to Constructing Prediction Regions in Complex Data Settings,” Huixia Judy Wang, PhD, Professor, Department of Statistics, The George Washington University
April 2025 – “Range Penalization: Theoretical Insights with Applications in Federated Learning,” Yiyuan She, PhD, Professor, Department of Statistics, Florida State University
January 2025 - "Explainable Nonlinear Multi-Task Learning for Multimodal Data Integration," Sandra Safo, PhD, Division of Biostatistics & Health Data Science, University of Minnesota
November 2024 - "Leveraging Advanced Computer Vision for Medical Imaging Applications," Cornelia Fermüller, PhD, Research Scientist, Institute for Advanced Computer Studies (UMIACS) & Institute for Health Computing, University Maryland
November 2024 - "A General Framework for Inference After Record Linkage," Priyanjali Bukke, PhD Candidate, George Mason University
August 2024 - "Principal component analysis for zero-inflated compositional data," Sungkyu Jung, PhD, Professor of Statistics, Director of the Institute for Data Innovation in Science, Seoul National University
June 2024 - "Kriging Using James-Stein Estimators which Contract to Subspaces," Samuel D. Oman, PhD, Professor, Department of Statistics, Hebrew University of Jerusalem
March 2024 - "Cumulative Incidence Function Estimation Based on EMR Data," Malka Gorfine, PhD, Professor of Statistics, School of Mathematical Sciences, Tel Aviv University
March 2024 - "Robust Mendelian Randomization coupled with Alphafold2 for drug target discovery," Zhonghua Liu, ScD, Assistant Professor of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center
March 2024 - "The Effect of Alcohol Consumption on Brain Ageing: A New Causal Inference Framework for Incomplete and Massive Phenomic Data," Chixiang Chen, PhD, MS, Assistant Professor in Biostatistics, Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine
February 2024 - "Conformal prediction intervals and predictive distributions," Jin Qin, PhD, Mathematical Statistician, Biostatistics Research Branch, Division of Clinical Research, National Institutes of Allergies and Infectious Diseases
January 2024 - "Reconciling model-based and design-based optimal subsample choices in two-phase studies," Thomas Lumley, PhD, Affiliate Professor at University of Washington, Professor & Chair in Biostatistics, University of Auckland
December 2023 - "Mission Imputable: Correcting for Error When Imputing a Censored Covariate," Tanya P. Garcia, PhD, Associate Professor of Biostatistics, Department of Biostatistics, Gillings School of Public Health, UNC Chapel Hill
November 2023 - "Sequential competing risks regression model for recurrent event data with terminal events," Anna Bellach, PhD, Mathematical Statistician, Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health
September 2023 - "Network Models for Developmental Biology and Personalized Cancer Therapy," Benedict Anchang, MSc, PhD, Stadtman Tenure-Track Investigator, Biostatistics & Computational Biology Branch National Institute of Environmental Health Sciences, National Institutes of Health
May 2023 - "Combining Information from Multiple Data Sources to Assess Race-Ethnic Health Disparities," Trivellore E Raghunathan (Raghu), PhD, Professor of Biostatistics & Director of Research, Institute for Social Research, University of Michigan
May 2023 - "Semiparametric Regression Analysis of Multivariate Interval-Censored Events," Donglin Zeng, PhD,Professor, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina
March 2023 - "A statistical tour on metabolomics in cancer epidemiology," Vivian Viallon, PhD, Co-Leader, Biostatistics and Data Integration Team, Nutrition and Metabolism Branch, IARC-WHO
March 2023 - "Cross-sectional data, epidemic dynamics and beyond," Mei-Cheng Wang, PhD, Professor, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
March 2023 - "Deciphering cancer cell evolution and ecology," Wenyi Wang, PhD, Professor, Department of Bioinformatics and Computational Biology, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
February 2023 - "Statistical methods for cross-population prediction of complex traits," Hongyu Zhao, PhD, Ira V. Hiscock Professor of Biostatistics, Professor of Genetics, Professor of Statistics and Data Science, Yale University
February 2020 – “Mixture model approaches to address disparities in cancer care,” Briana Stephenson, PhD, Assistant Professor of Biostatistics, Harvard T.H. Chan School of Public Health
January 2023 – “Do clinical prediction models perpetuate health disparities? Assessment of racial and ethnic disparities in suicide prediction models,” Yates Coley, PhD, Associate Investigator, Biostatistics Unit, Kaiser Permanente Washington Health Research Institute
January 2023 – “New methods for spatial causal inference,” Brian Reich, PhD, Distinguished Professor of Statistics, North Carolina State University
June 2022 – “Measuring spatial access to community amenities and its association with health,” Brisa N. Sanchez, PhD, Dornsife Endowed Professor of Biostatistics, Drexel University
April 2022 – “Aging, Frailty, Resilience, and Cancer: Can Gerontology Benefit Oncology?,” Ravi Varadhan, PhD, Professor of Oncology, Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University
April 2022 – “Developing an exposure burden score for chemical mixtures using item response theory: Applications to PFAS mixtures and phthalate mixtures,” Shelley H. Liu, PhD, Assistant Professor, Center for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai
February 2022 – “Challenges in Biobank-scale Imaging Genetics and Beyond,” Hongtu Zhu, PhD, Professor, Department of Biostatistics, The University of North Carolina, Gillings School of Public Health
December 2021 - “An integrated genomic definition and therapeutic strategy for heterogeneous tumors,” Wenyi Wang, PhD, Professor, Department of Bioinformatics and Computational Biology, Department of Biostatistics, The University of Texas MD Anderson Cancer Center
July 2021 - “Estimating the Cumulative Risk of Screening Mammography Outcomes,” Diana L. Miglioretti, PhD, Professor, Division Chief of Biostatistics, Department of Public Health Sciences, University of California, Davis
April 2021 - “Interpretable Neural Networks for Computer Vision: Clinical Decisions that are Computer-Aided, not Automated,” Cynthia Rudin, PhD, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science, Duke University
March 2021 - “Statistical Analysis of Large-Scale Microbiome Profiling Studies: Batch Effects and Robust Testing,” Michael C. Wu, PhD, Associate Professor, Public Health Sciences Division, Fred Hutchinson Cancer Research Center
March 2021 - “Knockoff Boosted Trees for Model-Free Variable Selection,” Michael C. Wu, PhD, Associate Professor, Public Health Sciences Division, Fred Hutchinson Cancer Research Center
February 2021 - “Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations,” Judy Zong, PhD, Associate Professor & Director, Biostatistics, Epidemiology and Research Design Program (BERD), New York University - Langone, Clinical and Translational Science Institute
January 2021 - “Topical Statistical Issues in COVID-19 Vaccine Trials,” Dean Follmann, PhD,
Chief, Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, NIH
January 2021 - “Defining and addressing dependent observation schemes in life history studies,” Richard Cook, PhD, Professor of Statistics, Dept of Statistics and Actuarial Science, University of Waterloo
October 2020 - “Relative, net and cause-specific survival,” Peter Sasieni, PhD, Professor of Cancer Prevention, Academic Director of Kings Clinical Trials Unit, Director, Cancer Research UK &
Kings College London Cancer Prevention Trials Unit, Vice Director: NIHR Policy Research Unit
Cancer Awareness, Screening & Early Diagnosis
October 2020 - “Thinking causally in high-dimensions,” Debashis Ghosh PhD, Professor and Chair
Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus
September 2020 - “Insights into Genetic Mosaicism Through the Lens of Statistical Phasing,” Po-Ru Loh, PhD, Assistant Professor, Harvard Medical School
April 2020 - “Statistical Methods for Spatiotemporal Modeling and Improving Estimation in Two-phase Studies,” Yei-Eun Shin, PhD, Research Fellow, Biostatistics Branch DCEG, NCI
April 2020 - “Feature selection with survival outcome data,” Hyokyoung (Grace) Hong, PhD, Associate Professor, Department of Statistics and Probability, Michigan State University
March 2020 – “Methods for Clinical Decision-Making: Risk Models with Polygenic Risk Scores,” Allison Meisner, PhD, Post-Doctoral Fellow, Department of Biostatistics, Johns Hopkins University
March 2020 – “Various usage of influence functions for complicated statistics in the context of survey sampling,” Jihnhee Yu, PhD, Associate Professor, Department of Biostatistics, SUNY at Buffalo
March 2020 - “Methods for population health with limited data,” Zehang Richard Li, PhD, Post-Doctoral Associate, Department of Biostatistics, Yale University
March 2020 - “Estimating Somatic Variant Richness & Using the "Hidden" Genome to Improve Classification of Cancer Types,” Saptarshi Chakraboty, PhD, Post-Doctoral Research Fellow, Department of Epidemiology & Biostatistics, Memorial Sloan-Kettering Cancer Center
March 2020 – “Next Generation Statistical Methods in the Post- Genome Wide Association Studies,” Nilanjan Chatterjee, PhD, Bloomberg Distinguished Professor, Department of Biostatistics, Bloomberg School of Public Health, Department of Oncology, School of Medicine, Johns Hopkins University
February 2020 – “Statistically Consistent Saliency Estimation,” Emre Barut, PhD, Assistant Professor of Statistics, George Washington University
January 2020 – “Comparing Alternatives for Estimation from Nonprobability Samples,” Richard Valliant, PhD, Research Professor Emeritus, Universities of Michigan & Maryland
January 2020 – “Measuring the mortality reductions produced by organized cancer screening: a principled approach,” James Hanley, PhD, Department of Biostatistics and Occupational Health, McGill University
January 2020 – “Analysis of Extreme Conditional Quantiles,” Judy Huixia Wang, PhD, Professor of Statistics, Department of Statistics, George Washington University, and Division of Mathematical Sciences, National Science Foundation