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Mengxin (Maxine) Yu

Mengxin (Maxine) Yu

Assistant Professor of Statistics & Data Science
PhD, Princeton University
Research interests:
    Uncertainty-Aware Human Preference Study
  • Statistical Aspects of AI Safety and Data-Driven Decision-Making
  • Causal Inference
  • Robust High-dimensional Statistical Estimation and Inference
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Dr. Yu’s research lies at the intersection of statistical estimation, inference, and decision-making, with applications spanning social science, machine learning, operations research, and public health.
Dr. Mengxin (Maxine) Yu is an Assistant Professor in the Department of Statistics and Data Science at Washington University in St. Louis. Prior to joining WashU, she was a Postdoctoral Research Fellow in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania, working with Professor Dylan S. Small. She received her Ph.D. in Operations Research and Financial Engineering from Princeton University in 2023, advised by Professor Jianqing Fan. Earlier, she graduated summa cum laude (Guo Moruo Scholarship, <1%) from the University of Science and Technology of China (USTC) in 2018.
 
Her work has appeared in leading journals such as The Annals of Statistics, Journal of the Royal Statistical Society: Series B, Journal of the American Statistical Association, Journal of Machine Learning Research, and Operations Research. Dr. Yu has received several honors, including the IMS New Researcher Travel Award, the ASA Best Student Paper Award, and the SEAS Award for Excellence—the highest distinction for advanced graduate students at Princeton University.