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Cong Ma is an Assistant Professor in the Department of Statistics at the University of Chicago. His research interests lie at the intersection of mathematics and data science, particularly emphasizing the interplay between statistics and optimization. Cong focuses on developing computationally and statistically efficient estimation and inference methods to tackle large-scale data science challenges. He is particularly excited about problems arising in transfer learning, reinforcement learning, high-dimensional statistics, and signal processing. Through his work, Cong aims to contribute significantly to these fields by creating innovative and scalable solutions that can be applied to real-world scenarios.
Department of Philosophy