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Current Biostatistics Seminars

Monday Seminar Series

Join us for our weekly seminars led by biostatistics experts, covering a wide-range of topics. 

All Biostatistics seminars are held at 12:05 p.m., via Zoom (registration required) and onsite (see events pages for Room numbers).

Click the title to register via the events page. For questions, email Biostat Events.

DATETITLE (CLICK TITLE TO REGISTER)SPEAKER
9/8/25Robust Decision Making Without Compromising Learning EfficiencyLaixi Shi is an assistant professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, affiliated with the Data Science and AI Institute. Her research focuses on robust and data-efficient reinforcement learning, situated at the intersection of data science, optimization, and statistics.  
9/15/25Modeling the geometry of spatial gene expressionUthsav Chitra is an Assistant Professor of Computer Science and faculty in the Data Science and AI Institute at the Johns Hopkins University. His research broadly develops statistical/machine learning methods for analyzing high-dimensional and multi-modal biological data.
9/22/25Efficient Evaluation and Monitoring of Machine Learning SystemsMichael Oberst is an assistant professor of computer science, a member of the Malone Center for Engineering in Healthcare, and a member of the Data Science and AI Institute. Oberst’s research focuses on reliable machine learning for decision-making in health care.
9/29/25Comparative Spatial Transcriptomics Analysis Identifies Evidence of Off-Target Probe BindingJean Fan is an associate professor of Biomedical Engineering in the Center for Computational Biology at Johns Hopkins University. Her research team, the JEFworks lab, is interested in understanding the molecular and spatial-contextual factors shaping cellular identity and heterogeneity.
10/6/25Principled AIYong Chen is a professor of biostatistics in the Department of Biostatistics, Epidemiology, and Informatics (DBEI), and a senior scholar at the Center for Clinical Epidemiology & Biostatistics (CCEB) at the University of Pennsylvania Perelman School of Medicine.
11/3/25Exploring Careers and Research Opportunities in Biostatistics through the ASA Biopharmaceutical SectionErik Bloomquist is a Senior Principal Scientist at Merck. Lingli Yang is a Statistics Manager at Takeda. Jingjing Ye is a Fellow of the American Statistical Association and the executive director and global head of Product Management and Data Insights at BeOne Medicines. Chenguang Wang is the Head of Statistical Innovation at Regeneron and previously was an Associate Professor at Johns Hopkins University and worked as a Mathematical Statistician at CDRH, FDA. 
11/10/25The Brave New World of Real-World Data: Design and Methods for Trustworthy EvidenceRebecca A. Hubbard is the Carl Kawaja and Wendy Holcombe Professor of Public Health and Professor of Biostatistics and Data Science at Brown University. Hubbard’s research focuses on the development and application of methods to improve analyses using real world data sources including electronic health records (EHR) and medical claims data. 
11/17/25MHS Showcase (in person only) 
12/8/25TBAJason Ji is the Co-Director of Statistical & Computational Immunology and Assistant Professor of Biostatistics & Bioinformatics at the Duke University School of Medicine.
2/2/26TBAKristina Gligoric is a Postdoctoral Researcher in Computer Science at Stanford University.
2/9/26TBAJosé Zubizarreta is Professor in the Department of Health Care Policy at Harvard Medical School, Professor in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, and Faculty Affiliate in the Department of Statistics at the Faculty of Arts and Sciences at Harvard University. His research focuses on the development of statistical methods for causal inference to advance health care and public policy research.
2/23/26TBATBA
3/2/26PHD Showcase (in person only) 
3/9/26TBATBA
3/30/26TBATiziano Piccardi is a Postdoctoral Scholar in Computer Science at Stanford University
4/6/26TBALuana Ruiz is an assistant professor in the Department of Applied Mathematics and Statistics and a member of the Data Science and AI Institute.
4/13/26TBATBA
4/20/26TBATBA
4/27/26TBATBA
5/4/26Masters Showcase (in person only) 

Past Seminars

 2024-2025 | 2023-2024 | 2022–20232020–2021 | 2019–2020 | 2018–2019