October 2021 4 new papers up on arXiv! In them, we tackle a variety of topics related to trajectory forecasting and its interactions with the rest of the robotic autonomy stack. Check out the publications page for more details.
July 2021 New paper up on arXiv! In it, we advocate for task-aware prediction metrics as a better way to evaluate trajectory forecasting methods in ways that are representative of how they are being deployed.

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 12, 2021)