معرفی
Lan Wang is a Centennial endowed chair professor and Department Chair of the Department of Management Science at the Miami Herbert Business School, University of Miami. She holds secondary appointments as Professor in the Department of Health Management and Policy within the Miami Herbert Business School and as Professor in the Department of Public Health Sciences at the Miller School of Medicine.
Dr. Wang earned her Ph.D. in Statistics from Pennsylvania State University and her Bachelor's degree in Applied Mathematics from Tsinghua University, China. Prior to joining the University of Miami, she was a Professor of Statistics at the School of Statistics, University of Minnesota.
Dr. Wang's research spans several interrelated areas including high-dimensional statistical learning, quantile regression, reinforcement learning, optimal personalized decision recommendation, survival analysis, and business analytics. Her work is characterized by strong methodological development with applications in business, economics, healthcare, and other domains. She is particularly interested in interdisciplinary collaboration that addresses real-world problems through innovative statistical approaches. Her research has significant implications for precision medicine, where she develops methods to identify optimal individualized decision rules to improve patient outcomes.
Dr. Wang's recent publications demonstrate a consistent focus on advancing statistical methodology for high-dimensional data analysis and personalized decision making. Her work bridges theoretical statistics with practical applications, particularly in healthcare analytics. She has made significant contributions to quantile regression theory, high-dimensional regression techniques, optimal treatment rules, and statistical learning frameworks. A notable theme across her publications is the development of robust methods that maintain performance even with heavy-tailed error distributions.
- Fellow of the American Statistical Association
- Fellow of the Institute of Mathematical Statistics
- Member of the International Statistical Institute
Dr. Wang has served as Co-Editor for Annals of Statistics (2022-2024) and as associate editor for several leading statistical journals including Journal of the American Statistical Association, Annals of Statistics, Journal of the Royal Statistics Society, and Biometrics. Her editorial leadership reflects her standing in the statistical community and her commitment to advancing methodological research. While specific grant details aren't provided, her extensive publication record in top-tier journals suggests substantial research funding supporting her work.
