Young Wu is a faculty member who has completed a PhD in Economics, with research interests primarily focused on machine learning, specifically adversarial multi-agent reinforcement learning. He has taught various courses including Introduction to Artificial Intelligence, Computer Graphics, Java Programming III, MATLAB Programming, Python Data Science Programming, and Micro-economic Theory (Game Theory). His academic background includes significant research and teaching experience at the University of Wisconsin, where he engages in developing methods and techniques within the realm of artificial intelligence and its applications.