I'm a PhD candidate in EECS at UC
Berkeley.
I'm part of the
Berkeley
AI Research Lab.
I'm interested in machine learning for control and
safety-critical control.
I received my M.S. in Machine Learning from
Carnegie
Mellon University and B.S. in EECS from UC Berkeley.
In the past, I've worked on multi-agent
collision avoidance, learning from demonstration, human
behavior learning, optimal control, hybrid
systems, and hierarchical planning in CMU
Machine Learning Department and the Berkeley AI Research Lab.