Teaching
- Spring 2021: COS 302 -- Mathematics for Numerical Comp. and Machine Learning
- Spring 2020: COS 302 -- Mathematics for Numerical Comp. and Machine Learning
- Fall 2019: COS 597C -- Advanced Topics in Automatic Differentiation
- Spring 2019: COS 324 -- Introduction to Machine Learning
- Fall 2018: COS 324 -- Introduction to Machine Learning
Current Graduate Students
- Joshua Aduol
- Alex Beatson
- Sam Barnett (co-advised by Tom Griffiths)
- Diana Cai (co-advised by Barbara Engelhardt)
- Anat Kleiman (MSE)
- Sulin Liu (co-advised by Peter Ramadge)
- Deniz Oktay
- Yaniv Ovadia
- Jad Rahme
- Nicholas Richardson
- Geoff Roeder
- Ari Seff
- Olga Solodova
- Tianju Xue (co-advised by Sigrid Adriaenssens)
Former Students and Postdocs
- Jordan Ash, Postdoc at Microsoft Research
- 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, Apple Research Scientist
- 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