Donglin Zeng, PhD
Donglin Zeng, PhD
Dr. Donglin Zeng is a professor at the Gillings School.
Dr. Zeng is an expert on modern empirical process theory and semiparametric efficiency theory. He has made important contributions to survival analysis, causal inference, missing data, semiparametric models, statistical genetics, personalized medicine, machine learning and high-dimensional data.
He has published over 100 papers, most of which have appeared in first-tier statistical journals. Dr. Zeng is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics.
Honors and AwardsElected Fellow
2011, American Statistical AssociationElected Fellow
2010, Institute of Mathematical StatisticsRoy Kuebler Fund Award, Department of Biostatistics
2008, The University of North Carolina at Chapel HillNoether Young Scholar Award
2008, American Statistical AssociationJunior Faculty Developmental Award
2006, The University of North Carolina at Chapel HillCenter for AIDS Research Development Award
2002, The University of North Carolina at Chapel Hill
Dr. Zeng has taught:
Advanced Probability and Statistical Inference I (BIOS 760), Fall 2006, 2007, 2011, 2013, 2015
Statistical Learning and High-dimensional Data (BIOS 740), Spring 2011, 2013
Advanced Probability and Statistical Inference (BIOS 760), Fall 2009, 2013
Personalized medicine, machine learning, biomarker discovery, clinical trials, electronic health records, semiparametirc modelling, survival analysis, high dimensional inference.
Serves in many editorial boards and NIH study sections.
PhD, Statistics, University of Michigan, 2001
MS, Mathematics, University of Science and Technology of China, 1995
BS, Mathematics, University of Science & Technology of China, 1993