- Ph.D. Massachusetts Institute of Technology, 2013
- B.S. Tsinghua University, 2007
Associate Professor of Electrical Engineering and the Center for Statistics and Machine Learning
Associated Faculty in Computer Science
Mengdi Wang received her Ph.D. in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in 2013. At MIT, Mengdi was affiliated with the Laboratory for Information and Decision Systems and was advised by Dimitri P. Bertsekas. Mengdi joined Princeton University in 2014. She received the Young Researcher Prize in Continuous Optimization of the Mathematical Optimization Society in 2016 (awarded once every three years), the Princeton SEAS Innovation Award in 2016, the NSF Career Award in 2017, the Google Faculty Award in 2017, and the MIT Tech Review 35-Under-35 Innovation Award (China region) in 2018. She is currently serving as an associate editor for Operations Research.
Her research interests on data-driven optimization, reinforcement learning, statistical dimension reduction and system identification. Mengdi’s research group studies the statistical and algorithmic foundation of reinforcement learning and sequential decision-making, as well as their applications in finance, operations research and biomedical research.
Honors and Awards:
- MIT Tech Review 35 Under 35 Innovators, China Region, 2018
- Google Faculty Award, 2017
- NSF CAREER Award, 2017
- Young Researcher Prize in Continuous Optimization, Mathematical Optimization Society, 2016
- Princeton Commendation List for Outstanding Teaching, 2016