About

I am an engineer and researcher experienced in modern machine learning and artificial intelligence techniques. I was previously a student at UC Berkeley, where I completed my B.A. in Computer Science and Statistics and my M.S. in Computer Science. While at Berkeley, I was associated with the Berkeley Artificial Intelligence Research (BAIR) Lab and the Center for Human-Compatible AI (CHAI) and worked primarily on problems in AI Alignment. I’ve also done research on problems in computer vision, robot planning, and sports statistics.

Publications

• On Lyapunov exponents and adversarial perturbation
  In CVPR 2018 Workshop The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security
  [Proceedings]

• An Anytime Algorithm for Task and Motion MDPs
  In ICAPS 2018 Workshop Planning and Robotics (PlanRob)
  [Proceedings]

• Uncertain Reward-Transition MDPs for Negotiable Reinforcement Learning (MS Thesis)
  [EECS Technical Reports]

• Do Steph Curry and Klay Thompson Have Hot Hands?
  To appear in The Mathematical Intelligencer. Work featured in a Numberphile Youtube video!
  [SSRN]