I am on the technical staff at OpenAI, where I research techniques to realize general purpose robotic intelligence.
I completed my PhD in Computer Science & Engineering from The Allen School at The University of Washington, where I was co-advised by Dieter Fox and Byron Boots. My PhD thesis was focused on leveraging large-scale imitation learning to train end-to-end deep models for closed-loop manipulator control in complex, partially observable environments. You can find my dissertation defense slides here.
Previously, I worked as a Computer Vision Engineer at Oculus VR. While there, I helped build the SLAM system for Oculus Quest.
I like to ride bikes, hike with my dog, and make pizza.
| August 2024 | I joined OpenAI as a Member of Technical Staff, focused on robotic learning. |
| May 2024 | I defended my dissertation before my committee: Dieter Fox, Byron Boots, Abhishek Gupta, Karen Leung |
| June 2023 - Present | I am working as a student researcher at Google DeepMind on large models for dexterous manipulation |
| December 2022 | I am co-organizing a workshop at CoRL 2022 on Benchmarking in Robotic Manipulation |
| December 2022 | Nikkei Robotics published an article on Motion Policy Networks |
| Fall 2022 | I am the TA for Intelligent Control Through Learning And Optimization at UW |
| April 2022 | Blue Origin awarded us a grant—with me as co-PI—to send Motion Policy Networks into space, but sadly the grant fell through |
| March 2022 | The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) accepted our abstract Motion Policy Networks |
| Spring 2021 | I was the TA for AI-based Mobile Robotics at UW |
| Summer 2020-Winter 2021 | I co-organized a series of anti-racism workshops for the UW robotics group |
| Spring 2020 | I gave a lecture on SfM/Visual SLAM for Steve Seitz and Rick Szeliski's Computer Vision Course at UW |
| Summer 2019-2023 | I was a research intern with NVIDIA's robotics research lab |
| Fall 2018 | I received the UW Reality Lab fellowship |