Yuejie Chi, PhD
Charles C. and Dorothea S. Dilley Professor, Department of Statistics and Data Science; Professor, Department of Computer Science
Dr. Yuejie Chi is the Charles C. and Dorothea S. Dilley Professor of Statistics and Data Science at Yale University, with a secondary appointment in Computer Science. She received her Ph.D. and M.A. from Princeton University, and B. Eng. (Hon.) from Tsinghua University, all in Electrical Engineering. Her research interests lie in the theoretical and algorithmic foundations of data science, generative AI, reinforcement learning, and signal processing, motivated by applications in scientific and engineering domains. Among others, Dr. Chi received the Presidential Early Career Award for Scientists and Engineers (PECASE), SIAM Activity Group on Imaging Science Best Paper Prize, IEEE Signal Processing Society Young Author Best Paper Award, and the inaugural IEEE Signal Processing Society Early Career Technical Achievement Award for contributions to high-dimensional structured signal processing. She is an IEEE Fellow (Class of 2023) for contributions to statistical signal processing with low-dimensional structures.
What do you do with Data Science?
Motivated by the challenge of harnessing actionable information from large-scale and high-dimensional data in sample-starved, resource-constrained, complex and uncertain environments, I am interested in revealing and exploiting low-dimensional data representations and problem structures to improve resource efficiency in terms of statistical, computational, and communication complexities and achieve their optimal trade-offs. My group develops theoretical understandings and provable algorithms for applications broadly spanning generative AI, decision making, imaging science, and sensing systems across scientific and engineering domains.