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Prof. Leng Chenlei

Prof. Leng Chenlei

Chair Professor of Statistics and Machine Learning

冷琛雷講座教授

Biography

I am a statistician and machine learning researcher working at the intersection of statistics, machine learning, and data science. My research develops new theory and methodology for analyzing large, complex, and high-dimensional datasets. Areas of focus include high-dimensional inference, network and graph-based models, structured and correlated data, nonparametric and computational methods, and statistical foundations of AI.

I am Chair Professor of Statistics and Machine Learning in the Department of Applied Mathematics (AMA) at the Hong Kong Polytechnic University (PolyU). I have held academic positions at leading institutions worldwide, including the National University of Singapore (NUS), Peking University (PKU), the University of Munich (LMU), and the University of Warwick.

I received my bachelor’s degree in Mathematics from the University of Science and Technology of China (USTC), and a Ph.D. in Statistics from the University of Wisconsin–Madison.

I am a Fellow of the Institute of Mathematical Statistics (IMS) and an Elected Member of the International Statistical Institute (ISI). I have also been a Humboldt Fellow and an Inaugural Turing Fellow at the Alan Turing Institute. My previous leadership roles include Chair of the Research Section of the Royal Statistical Society and Co-Director of the Oxford–Warwick Statistics Centre for Doctoral Training. I currently serve as Associate Editor for the Journal of Computational and Graphical Statistics and Computational Statistics & Data Analysis, and previously served on the editorial board of the Journal of the Royal Statistical Society: Series B.

Education and Academic Qualifications

 
  • Doctor of Philosophy, University of Wisconsin–Madison
  • Bachelor of Science, University of Science and Technology of China (USTC)

Research Interests

  • Network Models
  • High-Dimensional Data
  • Correlated Data
  • Human-Centred Foundation Models

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