I am a third 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 working at the intersection of controls, optimization, and machine learning to address real-world problems. Currently, I work closely with the Johns Hopkins Applied Physics Lab (APL) to develop 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.

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.