Published papers including 'Cross Morphology Robot Manipulation Skill Transfer' (under submission at RA-L) and 'Intelligent Boosting for Low Power-High Performance System' (IJCNN 2022); holds a patent 'Method And Electronic Device for Managing a Boost Time Required for an Application Launch' (US Patent: US20230045617A1, 2023).
Research Experience
Worked as a machine learning engineer at Samsung Research for 3 years; conducted multiple research projects such as multimodal material estimation, predicting purchase preferences using social network information, etc.
Education
ML PhD student at the Existential Robotics Laboratory, UC San Diego.
Background
Research interests include robot manipulation and reinforcement learning. The goal is to develop continually aligned and helpful robots using demonstrations, explicit and implicit feedback, and intrinsic motivation.
Miscellany
Interests include AI safety, robotics, and reinforcement learning.