My current research focuses on machine learning algorithms for perception and control in robotics. I am specifically interested in enabling self-supervised robot learning and human-robot interaction in the process.
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. My thesis work was on algorithms at the intersection of Optimization and Design for Automation. I studied the interaction of data-driven Learning for Autonomy and Design for Automation for human skill-augmentation and decision support.
Research Interests: Optimization (Mixed Integer, Non-convex), Machine Learning and Design for Automation in Healthcare & Robotics.
Organizing ICRA 2017 Workshop on Surgical Robotics
Organization of the 3DV Workshop
PhD received and move to Stanford
Journal Paper Draft