Group
I am fortunate to get to work with a great set of people. Current group members and long term collaborations include:
- Post-doc
- Ph.D.
- Undergraduates
- Recent Alumni and Lab Visitors
- Tong Mu (PhD, next: research scientist at OpenAI)
- Arpita Singhal (rotation student)
- Xinkun Nie (CS co-advisor, primary advisor Stefan Wager) (Phd: next: consultant, climate R & D, Actuate)
- Ramtin Keramati (PhD, next: Two Sigma)
- Andrea Zanette (co-advisor Mykel Kochenderfer) (PhD, top dissertation award ICME, next: Simons Berkeley postdoctoral fellowship)
- Yao Liu (PhD, current: research scientist at Amazon)
- Pierre-Luc Bacon (Postdoc, next: assistant prof University of Montreal, MILA)
- Christina Yuan (MS, next: PhD student at UT Austin)
- Christoph Dann (PhD, next: research scientist, Google AI NYC)
- Peyton Greenside (Schmidt foundation postdoc, next: co-founder startup)
- Jonathan Bragg (Postdoc, next: research scientist, Allen Institute)
- Shayan Doroudi (PhD, next, assistant prof UC Irvine)
- Zhaohan Daniel Guo (PhD, next: research scientist, Deep Mind)
- Philip Thomas (Postdoc, next: assistant prof UMass Amherst)
- Travis Mandel (PhD co-w/Zoran Popovic, UW, next: assistant prof U. of Hawaii)
- Li Zhou (advised masters capstone, now ML researcher at Amazon)
- Rika Antonova (advised robotics masters thesis, now PhD student in Sweden)
- Joe Runde (advised ML masters, now at IBM)
- Dexter Lee (advised ML masters, now at Twitter)
- Qi Guo (co-advised masters w/Jeff Bigham and Niki Kittur)
- Yun-En Liu (PhD co-w/Zoran Popovic UW, now at Enlearn)
- Mohammad Azar (Postdoc, now research scientist DeepMind)
- Joseph Rollinson (advised Honors senior thesis, now at Duolingo)
If you're an undergraduate or graduate already enrolled at Stanford interested in helping us transform and scale personalized learning, or tackling new challenges in sequential decision making under uncertainty, please get in touch!