Hello!

I’m currently a PhD candidate in the Department of Electrical and Computer Engineering at UCLA’s Henry Samueli School of Engineering, where I am advised by Dr. Brett Lopez at the Verifiable & Control-Theoretic Robotics (VECTR) Laboratory. I was previously a member of NASA JPL’s Team CoSTAR competing in the DARPA Subterranean Challenge, where I led the development of perception and state estimation algorithms for our fleet of aerial vehicles. Prior to that, I was a computer vision engineer at HRL Laboratories working on a variety of cool cutting-edge problems. I received a B.S. and M.S. in Electrical Engineering from UC San Diego in 2017 and 2018, where I was advised by Dr. Vikash Gilja and supervised by Dr. Paolo Gabriel and Dr. Abdulwahab Alasfour at the Translational Neuroengineering Laboratory.

I am broadly interested in robotic perception, spanning fields such as computer vision, machine learning, state estimation, and numerical optimization. My long-term research objective is to enable fast and robust, human-like geometric and semantic perception capabilities for mobile robots through innovative algorithmic design grounded by first principles.

Towards this, much of my research has focused on the development of generalized, domain-agnostic 2D/3D vision algorithms that are resilient to outliers and are practical and real-time using both classical and machine learning techniques.

Life goals include helping to advance our engineering capabilities in assistive and exploratory robotics, and one day seeing the Clippers win an NBA championship.