Skip to main content
News and Events

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
9/16/24Sensitivity analysis for trials with irregular and informative assessment times; Identify Molecular Biomarkers through Spatial GenomicsBonnie Smith and Boyi Guo are postdoctoral fellows in the Department of Biostatistics, Bloomberg School of Public Health.
9/23/24Estimation of Direct and Indirect Polygenic Effects and Gene-Environment Interactions using Polygenic Scores in Case-Parent Trio Studies; Who Are We Missing? A Principled Approach to Characterizing the Underrepresented PopulationZiqiao Wang and Harsh Parikh are postdoctoral fellows in the Department of Biostatistics, Bloomberg School of Public Health.
9/30/24A robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics dataJulia Wrobel is an assistant professor in the Department of Biostatistics and Bioinformatics in the Rollins School of Public Health at Emory University.
10/7/24A martingale theory of evidence (Joint seminar with the Hopkins Department of Applied Mathematics and Statistics)Aaditya Ramdas is an associate professor in the Departments of Statistics and Machine Learning at Carnegie Mellon University.
10/21/24Does AI help humans make better decisions? A methodological framework for experimental evaluationEli Ben-Michael is an assistant professor in the Department of Statistics & Data Science and the Heinz College of Information Systems & Policy at Carnegie Mellon University.
11/4/24MHS Showcase (in person only)Paul Rebman (PhD student in Mental Health), Jinqi Zhan (PhD student in Epidemiology) and Kening Jiang (PhD student in Epidemiology).
11/11/24Proximal Causal Inference With Text DataRohit Bhattacharya is an assistant professor in the Department of Computer Science at Williams College.
11/18/24Estimation of constrained statistical functionals for fair machine learningRazieh Nabi is an assistant professor in the Department of Biostatistics and Bioinformatics in the Rollins School of Public Health at Emory University.
12/9/24Opportunities for Incorporating Intersectionality into Biomedical Informatics with Applications to HIV Outcome PredictionOliver Bear Don't Walk IV is a postdoctoral scholar in the Department of Biomedical Informatics and Medical Education at the University of Washington.
1/16/25Making machines to learn biology from single-cell omics dataXuegong Zhang is professor of Pattern Recognition and Bioinformatics in the Department of Automation, Tsinghua University, and Adjunct Professor of the School of Life Sciences and School of Medicine.
2/10/25Common atom mixture models in two biostatistical inference problemsPeter Mueller is a professor of statistics and mathematics at UT Austin.
2/17/25Register via Zoom.

Stephanie Hicks is an associate professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. 

Keri Martinowich is a Senior Investigator, Lieber Institute, and Professor at the Johns Hopkins School of Medicine.

2/24/25Integrative multi-omics multi-context association and causal inference for elucidating genetic mechanismsLin Chen is a professor of biostatistics in the Department of Public Health Sciences at the University of Chicago.
3/3/25Data Disaggregation in Health Equity Studies: Past, Present, and FutureMiguel Marino is a professor of biostatistics at the Oregon Health & Science University (OHSU) School of Public Health.
3/10/25Modernizing Mixed Model PredictionJ. Sunil Rao is a professor in the Division of Biostatistics & Health Data Science and the Director of Biostatistics, Masonic Cancer Center (MCC) at the University of Minnesota School of Public Health.
3/31/25Justified Confidence in highly-consequential AI: Assuring AI-Enabled Systems for the Department of DefenseJane Pinelis currently serves as the chief AI engineer of the Applied Information Sciences Branch at Johns Hopkins University’s Applied Physics Laboratory (JHU/APL). 
4/14/25A Three-groups Non-local Model for Combining Heterogeneous Data Sources to Identify Genes Associated with Parkinson's DiseaseBen Shaby is an associate professor in the Statistics Department at Colorado State.
4/21/25Cancelled 
4/28/25Addressing Unmeasured Confounding in Observational Studies: Insights from Negative Control Methods and Proximal Causal InferenceXu Shi is an associate professor in Biostatistics at the University of Michigan, School of Public Health.
5/5/25Master's Thesis Showcase 
5/12/25DNA Mixture Interpretation: Past, Present, and Future Needs Through the Lens of a NIST Scientific Foundation ReviewJohn M. Butler is a NIST Fellow & Special Assistant to the Director for Forensic Science. He is an internationally recognized expert in forensic DNA analysis and holds a Ph.D. in analytical chemistry from the University of Virginia.

Past Seminars

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