معرفی
Tony Cai is the Daniel H. Silberberg Professor and Professor of Statistics and Data Science at The Wharton School, University of Pennsylvania. He also holds appointments as Professor in the Applied Mathematics & Computational Science Graduate Group and Associate Scholar in the Department of Biostatistics, Epidemiology, & Informatics at the Perelman School of Medicine.
- Education: PhD from Cornell University (1996)
- Research Interests:
- Statistical machine learning
- High-dimensional statistics
- Large-scale inference
- Functional data analysis
- Statistical decision theory
- Nonparametric function estimation
- Applications to genomics and financial econometrics
His recent research focuses on federated learning, differential privacy, and high-dimensional covariance estimation. He has developed adaptive algorithms for optimal estimation under communication and privacy constraints.
Scientific Awards:
- AAAS Fellow (2024)
- Institute of Mathematical Statistics (IMS) President (2023-2025)
- Noether Distinguished Scholar Award (2023)
- Frontiers of Science Award (2023)
- Laplace Lecturer (2021)
- ICSA Distinguished Achievement Award (2019)
- Peter Whittle Lecturer (2018)
- ICCM Best Paper Award (2018)
- COPSS Presidents' Award (2008)
- Fellow, IMS (2006)
Tony Cai serves on the editorial boards of leading journals, including the Annals of Statistics, Journal of the Royal Statistical Society (Series B), and the American Statistical Association. He is also a member of professional societies such as IMS, IEEE, ASA, ICSA, and AAAS.
