Amy Herring, ScD

Associate Chair Department of Biostatistics
Professor Department of Biostatistics

T:(919) 843-6368

F:(919) 966-3804

3104D McGavran-Greenberg Hall

CB #7420

Chapel Hill, NC 27599


Dr. Amy Herring is the Carol Remmer Angle Distinguished Professor of Children’s Environmental Health and the associate chair in the Department of Biostatistics.

She has broad expertise in biostatistics with a research focus on methods for multivariate and longitudinal data, Bayesian methods and methods for handling missing or mismeasured data. She is PI of an NIH-funded R01 to develop new statistical methods of direct relevance to reproductive and perinatal epidemiology, as well as of a large NIEHS-funded T32 to train students in environmental health science with a focus on environmental epidemiology, biostatistics and environmental health science.

Honors and Awards

Mortimer Spiegelman Award for outstanding public health statistician under 40
2012, American Public Health Association

Gertrude M. Cox Award for excellence in applied statistics
2012, Washington Statistics Society and Research Triangle International

Coauthor of "Best Paper in Biometrics" Award Winner
2012, International Biometric Society

Coauthor of "Best Paper in Biometrics" Award Winner
2011, International Biometric Society

Top 5% Reviewer
2010-2014, British Journal of Obstetrics and Gynecology

Elected Fellow
2010, American Statistical Association

McGavran Award for Teaching
2010, UNC Gillings School of Global Public Health

Representative Courses

Bayesian Inference (BIOS 779)

Principles of Statistical Inference (BIOS 600)

Teaching Interests

Dr. Herring has also taught:

Longitudinal Data Analysis (BIOS 767), Spring 2006-2012
Introduction to Research in Biostatistics (BIOS 700), Fall 2008-2010
Intermediate Linear Models (BIOS 663), Spring 2002-2004

Research Activities

Excited by research at the intersection of statistical science and public health, I have long-standing research interests in Bayesian methods in biostatistics, longitudinal and multilevel data, environmental health science, reproductive epidemiology, maternal and child health, adolescent development, and nutrition and obesity. Currently I am excited about my NIH R01 funding to develop nonparametric Bayesian methods for shrinkage informed by our knowledge of human embryonic development, motivated by the National Birth Defects Prevention Study and the desire to study birth defects too rare for meaningful analysis using existing statistical methods. Other interesting projects include developing new statistical methods for exposure mixtures, studying trajectories of weight gain and cardiovascular health in the China Health and Nutrition Survey, exploring factors related to adolescent sexual development and the demography and health outcomes of sexual minorities in the United States, and studying occupational exposures to metals and neurological outcomes.  

I am also very involved in national and international efforts to support statistical science and use of statistics, as well as public health science more broadly. These include the National Academies' Committee on Applied and Theoretical Statistics (CATS), the Institute of Medicine Consensus Committee on Obesity Trends, and the US Food and Drug Administration's Bone, Reproductive, and Urologic Drugs Advisory Committee. I am currently an officer of the American Statistical Association’s Biometrics Section (Chair-elect 2016, Chair 2017, Past-chair 2018) and the International Society for Bayesian Analysis (Executive Secretary 2016-2018). I served as on the Board of Directors of International Society for Bayesian Analysis from 2013-2015, and served a three-year term as President-elect (2010), President (2011), and Past-president (2012) of ENAR, the largest professional organization of biostatisticians in North America.

Research funding includes NIEHS R01ES020619 (PI) and numerous collaborative projects dealing with birth defects, environmental and occupational exposures, obstetrics and gynecology, child neurodevelopment, adolescent development and maternal health, including the National Children’s Study and National Birth Defects Prevention Study.

Training funding includes NIEHS T32ES007018 (PI), a multidisciplinary training program in environmental biostatistics, environmental epidemiology and environmental health sciences.


ScD, Biostatistics, Harvard University, 2000

BS, Mathematics, University of Mississippi, 1995

BA, English, University of Mississippi, 1995