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JOINT EBOH/CRM SEMINAR
Bios Seminar Series Fall 2025

Sudipto Banerjee, PhD

Professor, Department of Biostatistics
Fielding School of Public Health听| UCLA

NOTE: Meet & Greet Prof Sudipto Banerjee from 3-3:30pm in Room 1140

WHEN: Friday, November 21, 2025, from 3:30 to 4:30 p.m.
WHERE: Hybrid | 2001 海角精品黑料 College Avenue, Rm 1140;
NOTE:听Sudipto Banerjee will be presenting in-person at SPGH听
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Abstract

I will share my perspectives on the significant paradigm shift taking place in data analysis with the advent of AI technologies. This rapidly evolving field offers substantial intellectual space for statistical theory and methods to not only co-exist with other disciplines within computer science and machine learning, but also play a crucial role in advancing data analysis and probabilistic inference at unprecedented scales. I will elucidate three ideas that will synthesize into an artificially intelligent inferential system. The first is "amortized Bayesian inference" that considers training and calculating posterior distributions using generative AI. The second is Bayesian transfer learning for scaling Inference to massive datasets. The third is Bayesian predictive stacking that delivers exact simulation-based inference without resorting to expensive iterative methods such as Markov chain Monte Carlo. I will base my talk on a case study that is a part of the University of California Los Angeles (UCLA) Physical Activity and Sustainable Transportation Approaches (PASTA-LA) and is primarily concerned with learning about a subject's metabolic levels as a function of their mobility attributes and other health attributes.

Speaker Bio

Please visit website:听