Speaker
Dr. Mengxin (Maxine) Yu, Assistant Professor of Statistics & Data Science, Department of Statistics and Data Science, Washington University in St. Louis
Title
Statistics Seminar Series
Subtitle
Uncertainty Quantification for Modern Machine Learning Predictions
Physical Location
Allen 411
Abstract:
TBA
About the Speaker:
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.
Note:
Contact Prof. JZ at jzhang@math.msstate.edu for additional information.