News and Events
Current Biostatistics Seminars
Monday Seminar Series
All Biostatistics seminars are held at 12:05 p.m., via Zoom and onsite in W2008.
Click the title to register via the events page. For questions email Kara Friedman.
| DATE | TITLE (CLICK TITLE TO REGISTER) | SPEAKER |
|---|---|---|
| 5/13/24 | TBD | Maria Cuellar is an assistant professor at the University of Pennsylvania Criminology and Statistics & Data Science Departments. |
| 4/29/24 | Statistical Challenges in the Selection of Causal Graphical Models | Daniel Malinsky is an assistant professor of Biostatics at Columbia University, Mailman School of Public Health. |
| 4/22/24 | Scalable Distributional Regression via Quantile Functional Regression for Data Streams Including Wearable Devices | Jeffrey S. Morris is the George S. Pepper Professor of Public Health and Preventative Medicine/Director, Biostatistics Division at the University of Pennsylvania. He serves as Director of the Division of Biostatistics. |
| 4/15/24 | Investigating Dynamics in Spatial Omics Data with StarTrail | Yun Li is a professor in the Department of Genetics, Department of Biostatistics, and an adjunct assistant professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. |
| 4/8/24 | Challenges in Deep Learning (co-hosted with PHAISE)* *View seminar on YouTube. | Rama Chellappa is a Bloomberg Distinguished Professor in the Department of Electrical and Computer Engineering and the Department of Biomedical Engineering at the Johns Hopkins Whiting School of Engineering. |
| 4/1/24 | Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making | Maggie Makar is an assistant professor, in the Electrical Engineering & Computer Science Department at the University of Michigan. |
| 3/25/24 | Hierarchical Bayesian Spatio-Temporal Modeling for Multi-Pathogen Transmission of Hand, Foot, and Mouth Disease | Nikolay Bliznyuk is an associate professor in the Department of Agricultural and Biological Engineering at the University of Florida. |
| 3/4/24 | A Scalable, Data-Driven Framework for Identifying Patient Subgroups on Which an AI/ML Model Underperforms | Adarsh Subbaswamy, U.S. Food and Drug Administration, Division of Imaging Diagnostics and Software Reliability at the Center for Devices and Radiological Health |
| 2/26/24 | Mitigating Misdiagnosis in Multiple Sclerosis Leveraging Imaging Statistics | Taki Shinohara, University of Pennsylvania Perelman School of Medicine, Center for Clinical Epidemiology and Biostatistics |