RIQT People

Jian Huang is Chair Professor of Data Science and Analytics in the Department of Applied Mathematics at The Hong Kong Polytechnic University. He obtained his Ph.D. degree in Statistics from the University of Washington in Seattle. His research interests include semiparametric inference, nonparametric statistics, high-dimensional statistics, large sample theory, computational statistics, integrative analysis, survival analysis, statistical genetics, and bioinformatics. His more recent research interests include deep generative models and inference, statistical inference in deep learning, deep neural network approximation theory, representation learning for more efficient inference, and statistical analysis leveraging pretrained large models. He has published widely in the fields of Statistics, Biostatistics, Machine Learning, Bioinformatics and Econometrics. He was designated a highly cited researcher in the field of Mathematics from 2015 to 2019 by the Web of Science group at Clarivate and included in the list of top 2% of the world's most cited scientists by Elsevier BV and Stanford University (2021). Professor Huang is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics.