I am a roboticist. I work on helping robots understand the world around them. My interests lie in uncertainty-aware machine learning algorithms for embodied systems. I am a Research Lead and Manager at the Toyota Research Institute (TRI) where I co-lead the Trustworthy Learning under Uncertainty (TLU) research direction in the context of Large Behavior Models (LBMs). We are currently researching statistical robot evaluation, failure detection, recovery, and mitigation, as well as (inter)active and continual learning. To see my latest research, here is my Google Scholar.

Previously, as part of the Stanford Intelligent Systems Laboratory (SISL), my research focused on spatiotemporal perception for self-driving cars. I built perception systems that robustly predicted the evolution of the dynamic environment and made inference into spatially occluded regions, while taking into account uncertainty, in order to intelligently inform autonomous decision making.