My current research focuses on machine learning algorithms for perception and control in robotics. I am specifically interested in enabling efficient imitation in robot learning and human-robot interaction.
I received MS in Computer Science and Ph.D. in Operations Research from the UC, Berkeley in 2016. I was advised by Ken Goldberg in the Automation Lab as a part of the Berkeley AI Research Lab (BAIR). I also worked closely with Pieter Abbeel, Alper Atamturk and UCSF Radiation Oncology.
Research Interests: Machine Learning, Optimization, Design in Robotics & Healthcare.
Organizing Stanford Robotics Seminar Series
Co-Teaching CS 332 Advanced RL
4 Papers accepted at ISRR, CoRL and 3DV, 2017
CoRL and ISRR papers Submitted
IROS Paper Accepted, See you there!