Edric Tam, PhD
- Warren Alpert Fellow, Stanford
- PhD, Duke
- MS, Chicago
- MS, Yale
- BS, Johns Hopkins
I am a statistician and machine learning scientist developing novel methodology and theory motivated by biomedical and econometrics applications.
I am broadly interested in
Bayesian Statistics and Decision Theory
Sampling Methods and Generative Modeling
Deep Learning and Artificial Intelligence
On the more mathematical front, I am interested in graphs, geometry, concentration of measure and optimal transport.
Currently, I am the Warren Alpert Fellow in AI and Computational Biology at Stanford, working with Barbara Engelhardt. Prior to that, I received my PhD in Statistical Science from Duke, advised by David Dunson. I also hold degrees in biomedical engineering and computer science from Johns Hopkins, Yale and Chicago.