About

I'm currently a Ph.D. candidate in the Autonomous Systems Lab at Stanford. My research interests include few-shot, incremental, and adaptive learning algorithms; model-based and model-free reinforcement learning; and safe learning control. I'm also broadly interested in representation learning in robotics, Bayesian deep learning, and decision-making and control techniques leveraging these tools. Broadly speaking, I'm interested in enabling robots to learn from their environment continuously and safely.

Before Stanford, I graduated from McGill University in 2015, where I worked on haptics, solar energy, and light-responsive materials. I'm currently supported by the Stanford Graduate Fellowship and the NSERC Postgraduate Scholarship.

I am on the job market in 2021.

Teaching

In Spring 2021 I am co-teaching Optimal and Learning-Based Control.

Contact

The best way to reach me is through email at jharrison@stanford.edu.