Donglin Zeng, PhD

About

Dr. Donglin Zeng is an adjunct 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.

Donglin Zeng in the Gillings News

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