Grayson Lee

I am a Msc student in Computing Science at University of Alberta, under the supervision of Xiaoqi Tan. I completed my Bachelor’s degree in Computing Science from Simon Fraser University.

My research interests span generative modeling, reinforcement learning, and control theory. I focus on combining these areas to develop principled approaches for sequential decision-making. In particular, I’m interested in how generative models can be integrated with control-theoretic tools to build robust and efficient methods.

During my undergrad I had the privilege of conducting research with Martin Ester, where I worked on Generative Flow Networks (GFlowNets) for structure-based drug discovery. I later worked with Ke Li and Mo Chen on applying generative models to model predictive control, and on multi-agent collision avoidance with Hamilton-Jacobi reachabilty.

Reach out at: graysonl [at] sfu.ca