Department of Statistics and the College
Cong Ma is broadly interested in the mathematics of data science, with a focus on the interplay between statistics and optimization. His main research goal is to develop computationally and statistically efficient estimation and inference methods for large-scale data science problems. His recent work addresses problems arising from reinforcement learning, high-dimensional statistics, and signal processing.
His research has been published in the Proceedings of the National Academy of Sciences, the Annals of Statistics, SIAM Journal on Optimization, and Foundations of Computational Mathematics.
Ma received his bachelor’s degree in electrical engineering from Tsinghua University, and obtained his PhD in operations research and financial engineering from Princeton University. While at Princeton, he was recognized with the School of Engineering and Applied Science Award for Excellence, given to advanced graduate students who have performed at the highest level as scholars and researchers. Most recently, he was a postdoctoral researcher at the University of California, Berkeley.