Suraj Nair

I am a PhD student in Computer Science at Stanford University, where I work at the intersection of machine learning, computer vision, and robotics. Specifically I am interested in problems relating to continual learning, hierarchical reinforcement learning, and perception for robotics. I am co-advised by Professors Chelsea Finn and Silvio Savarese, and am funded by the National Science Foundation Graduate Fellowship.

I completed my Bachelors in Computer Science at the California Institute of Technology (Caltech), where I worked with Yisong Yue on multi-agent reinforcement learning. In the past I have worked at Google Brain, General Electic Current, and a number of startups.