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 Awards

Elected Fellow

2011, American Statistical Association

Elected Fellow

2010, Institute of Mathematical Statistics

Roy Kuebler Fund Award, Department of Biostatistics

2008, The University of North Carolina at Chapel Hill

Noether Young Scholar Award

2008, American Statistical Association

Junior Faculty Developmental Award

2006, The University of North Carolina at Chapel Hill

Center for AIDS Research Development Award

2002, The University of North Carolina at Chapel Hill

Teaching Interests

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

Research Activities

Personalized medicine, machine learning, biomarker discovery, clinical trials, electronic health records, semiparametirc modelling, survival analysis, high dimensional inference.

Service Activities

Serves in many editorial boards and NIH study sections.

Education

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