About Me 👦
~ Researcher in robot learning — imitation learning, reinforcement learning, full-stack roboticist ~
I’m currently a researcher at NVIDIA Research — GEAR, and a founding core member of Project GR00T, advancing robot learning through imitation learning and reinforcement learning via large-scale human and robot data. I work with Jim Fan and Yuke Zhu on building foundation models for generalist humanoid robots. I am also the core lead of the open-source effort for Isaac GR00T N1.x.
Previously I was a researcher at Berkeley AI Research (BAIR) — RAIL Lab, working with Prof. Sergey Levine on sample-efficient reinforcement learning and VLA robotics foundation models.
Prior to that, I focused on solving robotics problems the classical way — full-stack robotics engineering with principled software and ML. At Open Robotics (now Alphabet’s Intrinsic), I was a core contributor to ROS2 and the Open-RMF multi-agent fleet management framework, shipping open-source infrastructure used by robotics teams worldwide. I also worked on 3D perception systems for autonomous vehicles at Nutonomy (now Motional). This deep grounding in classical robotics stacks — from SLAM and motion planning to sensor fusion and fleet coordination — shapes how I think about building robust, scalable robot learning systems today.
I believe in open knowledge distribution and enjoy contributing to open-source repos, particularly in the robot learning domain. 
Projects & Publications Github Profile Google Scholar
Work 👨💻
| Period | Role | Organization |
|---|---|---|
| Sep 2024 – Present | Senior Research Engineer | NVIDIA Research — GEAR, Santa Clara |
| Aug 2023 – Sep 2024 | Research Staff Engineer | BAIR — RAIL Lab, UC Berkeley |
| Aug 2022 – Aug 2023 | Graduate Research Assistant | Healthcare Robotics Lab, Georgia Tech |
| Jul 2020 – Aug 2022 | Software Engineer | Open Robotics / OSRF (now Alphabet’s Intrinsic) |
| Jan 2020 – Jul 2020 | Computer Vision Software Engineer | TUM CREATE & Speed Cargo |
| Aug 2018 – Jan 2020 | Robotics Software Engineer | Hope Technik, Singapore |
| Mar 2017 – Mar 2018 | AV Perception Engineer Intern | Nutonomy (now Motional) |
Education 👨🎓
- M.S. in Computer Science (Specialization: Machine Learning, First Class Honors) — Georgia Institute of Technology, Atlanta (Jan 2022 – Jul 2023)
- B.Eng. in Mechanical Engineering (Mechatronics, Distinction; Minor in Entrepreneurship) — Nanyang Technological University, Singapore (Aug 2014 – Jul 2018)