Ryan P. Adams, Princeton University

I am interested in machine learning, artificial intelligence, and computational statistics, with applications across science and engineering. I have broad interests but often work on probabilistic methods and approximate Bayesian inference. I am the director of the Undergraduate Certificate in Statistics and Machine Learning. I co-founded Whetlab (sold to Twitter in 2015) and formerly co-hosted the Talking Machines podcast. I was faculty at Harvard from 2011 to 2016 and was at Twitter and then Google Brain before joining the faculty at Princeton in 2018. I call my group the Laboratory for Intelligent Probabilistic Systems (LIPS).

Teaching

Spring 2019: COS 324 -- Introduction to Machine Learning
Fall 2018: COS 324 -- Introduction to Machine Learning

Current Graduate Students

Jordan Ash
Alex Beatson
Sam Barnett
Diana Cai (co-advised by Barbara Engelhardt)
Sulin Liu (co-advised by Peter Ramadge)
Yaniv Ovadia
Jad Rahme
Geoff Roeder
Ari Seff
Tianju Xue (co-advised by Sigrid Adriaenssens)

Former Students and Postdocs

Elaine Angelino, UC Berkeley Miller Fellow
SueYeon Chung, MIT BCS Fellow
Finale Doshi-Velez, Harvard University Faculty
David Duvenaud, University of Toronto Faculty
Michael Gelbart, University of British Columbia Faculty
Jose Miguel Hernandez Lobato, University of Cambridge Faculty
Matthew Johnson, Google Brain Research Scientist
Scott Linderman, Stanford University Faculty
Dougal Maclaurin, Google Brain Research Scientist
Andrew Miller, Columbia University Postdoctoral Fellow
Shamim Nemati, Emory University Faculty
Yakir Reshef, MD/PhD Student at Harvard Medical School
Oren Rippel, Co-founder and CTO of WaveOne
Ardavan Saeedi, Butterfly Network
Jasper Snoek, Google Brain Research Scientist

Ryan P. Adams

Professor of Computer Science

Teaching

Current Graduate Students

Former Students and Postdocs