I am a Research Scientist at OpenAI 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.

I am working on my PhD in Computer Science at UC Berkeley advised by Pieter Abbeel.

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

In the past, I have been a management consultant at McKinsey and an Investment Partner at Dorm Room Fund.

Troubleshooting Deep Neural Networks

I'm soliciting feedback on a guide I wrote on troubleshooting deep learning models.

Click here for the guide, and please email me or comment on Twitter if you have any suggestions!