I am a roboticist. I work on helping robots understand the world around them.
As part of the Stanford Intelligent Systems Laboratory (SISL), my research focuses on perception for self-driving cars. Specifically, my interests lie in systems that bridge the gap between human driver behavior modeling, deep learning, and classical robotics algorithms.
I aim to build a unified perception system that robustly predicts the evolution of the dynamic environment in time and makes inference into spatially occluded regions, while taking into account uncertainty, in order to intelligently inform autonomous decision making.