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Past Seminars

2024-2025 Seminar Series

2024-2025 Biostatistics Seminar Series

DATETITLESPEAKER
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 ShowcasePaul 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.
2/17/25Spatially-resolved molecular and computational approaches for understanding structure-function relationships in the human brain

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 is the Chief Scientist, Special Operations at the Johns Hopkins University Applied Physics Laboratory.
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.
4/28/25A Three-groups Non-local Model for Addressing 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 Butler is a National Institute of Standards and Technology (NIST) Fellow & Special Assistant to the Director for Forensic Science at the U.S. Department of Commerce.

Past Seminar Schedules

2023-2024 I 2022-2023 I 2020-20212019-2020 | 2018-2019 | 2016-2017