I'm a PhD candidate in EECS at UC
I'm part of the Berkeley
AI Research Lab
I'm interested in machine learning for control and
I received my M.S. in Machine Learning from Carnegie
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 the CMU
Machine Learning Department and the Berkeley AI Research Lab.