Mengdi Wang
Associate Professor, Princeton University
Mengdi Wang is an Associate Professor at the Department of Electrical Engineering and Center for Statistics and Machine Learning at Princeton University. She is also affiliated with the Department of Computer Science and a visiting research scientist at DeepMind. Her research focuses on data-driven stochastic optimization and applications in machine and reinforcement learning. She received her PhD in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in 2013.
Program Visits
- Learning and Games, Spring 2022. Visiting Scientist.
- Theory of Reinforcement Learning, Fall 2020. Workshop Organizer.
- Theory of Reinforcement Learning, Fall 2020. Visiting Scientist and Workshop Organizer.
- Bridging Continuous and Discrete Optimization, Fall 2017. Visiting Scientist.
