I am a researcher working at the intersection of machine learning and robotics. My research focuses on applying deep reinforcement learning, generative models, and synthetic data to problems in robotic perception and control.

Additionally, I co-organize a machine learning training program for engineers to learn about production-ready deep learning called Full Stack Deep Learning.

I did my PhD in Computer Science at UC Berkeley advised by Pieter Abbeel and was a research scientist at OpenAI for 3 years during my PhD. I have also been a management consultant at McKinsey and an Investment Partner at Dorm Room Fund.



Slides & Guides