About Me

I am a final year Electrical Engineering and Computer Sciences (EECS) PhD student at University of California, Berkeley advised by Professor Claire Tomlin. I work in the Hybrid Systems Lab, which is a part of the Berkeley Artificial Intelligence Research (BAIR) Lab. I am broadly interested in robotics, computer vision, and explainable AI, but most of my work has focused on developing algorithms that ensure safe robot navigation in environments with high levels of uncertainty. I am graciously supported by the NSF Graduate Research Fellowship and the Chancellor’s Fellowship for Graduate Study. Throughout my PhD, I have worked closely with the Intelligent Systems Center (ISC) at the Johns Hopkins Applied Physics Lab (APL) and am currently collaborating with research scientists and engineers in the Intelligent Networked Systems (INS) group at Microsoft Research (MSR).


I graduated summa cum laude from University of Maryland, College Park with a B.S. in Electrical Engineering. While at Maryland, I worked with Professor P. S. Krishnaprasad in the Intelligent Servosystems Lab, which is a part of the Maryland Robotics Center. Within this lab, I primarily worked on characterizing human movement for safe human robot interaction. Additionally, I was a part of the Gemstone Honors Program, conducting research on tactile feedback systems for robotic surgical applications.

Me