October 2020 Our paper on a novel multi-agent trajectory forecasting output representation that is much more amenable to downstream planning and control algorithms has been accepted to CoRL 2020! See you in November!
October 2020 Our work on risk-sensitive control factoring in multimodal future predictions was featured in TechXplore! Check out the article here!

About Me

I am an electrical and computer engineer turned computer scientist turned roboticist pursuing a PhD in aeronautics and astronautics under the supervision of Professor Marco Pavone in the Autonomous Systems Lab.

I obtained a Master's in Computer Science from Stanford University in 2018, specializing in Artificial Intelligence (AI). Prior to that, I obtained a Bachelor of Applied Science with High Honours in 2016 from the University of Toronto's rigorous Engineering Science program, majoring in Electrical and Computer Engineering with a Robotics/Mechatronics minor.

Resume/CV (updated October 15, 2020)