Jeffrey Regier received a PhD in statistics from UC Berkeley (2016) and joined the University of Michigan as an assistant professor. His research interests include graphical models, Bayesian inference, high-performance computing, deep learning, astronomy, and genomics.
Jeffrey Regier
Assistant Professor, Statistics, LSA
Bayesian models and deep learning for scientific applications
COntact
WebsiteLocation
Ann Arbor
Methodologies
Artificial Intelligence / Bayesian Methods / Causal Inference / Data Mining / Machine Learning / Mathematical and Statistical Modeling / Networks / Optimization / Statistics
Applications
Biological Sciences / Earth Science and Ecology / Environmental and Climate Research / Healthcare Research / Informatics / Physical Science