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I am a Postdoctoral Associate at Yale University, working with Prof. Jeffrey Gruen and Prof. Heping Zhang. Before joining Yale, I earned my Ph.D. in Statistics from the University of Miami, supervised by Prof. Lan Wang. I also hold a Master’s degree in Statistics from the University of California, San Diego, and a Bachelor’s degree in Applied Mathematics from the University of Science and Technology of China.
My research interests span statistics, operations management, and reinforcement learning. Currently, I focus on applying statistical and operational tools to the genomics of learning disorders.
My past work includes: inventory control, differential privacy, and high-dimensional reinforcement learning.
Tuoyi Zhao, Wen-Xin Zhou and Lan Wang (2024). Private optimal inventory policy learning for feature-based newsvendor with unknown demand, Management Science, 71(7):6092-6111.
Yu Zhou, Lan Wang, Rui Song and Tuoyi Zhao (2023). Transformation-Invariant Learning of Optimal Individualized Decision Rules with Time-to-Event Outcomes, Journal of the American Statistical Association, 118 (544), 2632-2644.
Teaching Assistant:
MAS651 - Machine Learning II (2024), University of Miami, Management Science Department.
MAS651 - Machine Learning II (2023), University of Miami, Management Science Department.
Linear Algebra II (2018), University of Science and Technology of China, Mathematics Department
Analytic Geometry (2017), University of Science and Technology of China, Mathematics Department
tuoyi.zhao@yale.edu