Young Wu

This is the first time Young is teaching CS559. He has been the teaching assistant for Professor Gleicher ’s CS559 in the last five years. He has been teaching CS540 Artificial Intelligence since 2019 and will teach CS540 again in Summer and Fall 2024. He has also taught undergraduate game theory at the University of Toronto from 2015 to 2016.

Young’s research is in adversarial machine learning and multi-agent reinforcement learning, which lie in the intersection between machine learning and game theory. He is also interested in computer graphics and data visualization since they are useful in simulating reinforcement learning environments and visualizing the policies learned by the agents.