I am on the technical staff at OpenAI, where I'm working to build general embodied 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 thesis focused on using lots of synthetic data to train policies that control physical robots in complex environments. You can find my dissertation defense slides here.
Long ago, 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 |