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Cong Ma is an Assistant Professor in the Department of Statistics at the University of Chicago. His research interests lie in the intersection of mathematics and data science, with a particular focus on the interplay between statistics and optimization. He aims to develop computationally and statistically efficient estimation and inference methods for large-scale data science problems. Cong is particularly excited about challenges arising in fields such as transfer learning, reinforcement learning, high-dimensional statistics, and signal processing. His work addresses important issues involving statistical efficiency and computational practicality when dealing with vast amounts of data. He is committed to advancing methodologies that can further enhance the applicability of statistical frameworks in solving real-world problems.
Department of Philosophy