I'm currently research scientist at the Robotics and AI Institute focusing on robot learning with applications in dexterous manipulation and locomotion.
- Dojo: A Differentiable Physics Engine for Robotics
- Fast Contact-Implicit Model-Predictive Control
- ALGAMES: a fast augmented Lagrangian solver for constrained dynamic games code
| π οΈ project name | π brief description | β stars |
|---|---|---|
| Dojo.jl | differentiable physics engine for robotics | |
| ContactImplicitMPC.jl | predictive control algorithm for robots that make and break contact | |
| Silico.jl | unified formulation for collision detection and contact simulation | |
| Algames.jl | game-theoretic solver |
Previously:
- PhD candidate in robotics and optimization at Stanford University working with Zachary Manchester and Mac Schwager
- research scientist intern at Google Robotics
- software engineering intern at Aurora Innovation
- undergraduate student at Ecole Centrale Paris



