معرفی
Professor Chenlei Leng is a faculty member in the Department of Statistics at the University of Warwick. Previously, he held positions at Peking University, the University of Munich, and the National University of Singapore. He earned a bachelor's degree in mathematics from the University of Science and Technology of China and a PhD in statistics from the University of Wisconsin-Madison.
His research focuses on developing statistical methodologies for analyzing complex, high-dimensional data, including network analysis, longitudinal data modeling, and machine learning applications. He has organized workshops on statistical network analysis and co-directed the Oxford-Warwick Statistics Centre for Doctoral Training (CDT).
- Elected Member of the International Statistical Institute
- Fellow of the Institute of Mathematical Statistics
His current research group at Warwick explores network structures and high-dimensional statistical challenges. Advising includes PhD candidates like Yuanhe Zhang and Xinyuan Fan, alongside visiting students from institutions such as Tsinghua University. He actively participates in academic leadership roles, including chairing the Research Section of the Royal Statistical Society.
Publications span topics like network models, covariance estimation, and sparse regression, with a focus on methodological advancements in statistics and machine learning.
