|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.|
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)