David Reif, Ph.D.

Senior Scientist

Predictive Toxicology Branch


530 Davis Drive (Keystone Bldg)
530 Davis Dr
Durham, NC 27713



Research Topics

David M. Reif, Ph.D., joined the NIEHS in 2022 as Chief of the Predictive Toxicology Branch (PTB) in the Division of Translational Toxicology (DTT). In this role, he will leverage expertise of the branch in data science, toxicogenomics, spatiotemporal exposures and toxicology, computational methods development, and new approach methods (NAMs) to advance predictive toxicology applications with partners across NIEHS, the interagency Tox21 Program and the Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM).

Prior to joining NIEHS in 2022, Reif was a professor of bioinformatics at North Carolina State University, in the Department of Biological Sciences. His lab focused on integrated analysis of high-dimensional data from diverse sources to understand the complex interactions between human health and the environment and included trainees from degree programs in bioinformatics, genetics, toxicology, and statistics. Before North Carolina State University, David was a principal investigator (PI) with the U.S. EPA’s National Center for Computational Toxicology. His efforts in research, teaching, and outreach have been recognized with several honors, including the Presidential Early Career Award for Scientists and Engineers (PECASE), awarded by The White House as the highest honor bestowed by the United States government on science and engineering professionals in the early stages of their independent research careers. He has also been selected to serve on expert committees, including those for the National Academy of Sciences, the World Health Organization's International Agency for Research on Cancer, and the U.S. EPA Science Advisory Committee on Chemicals. His full CV includes authorship of over 130 peer-reviewed publications.


Reif earned his B.S. in biology (with a minor in finance) from the College of William and Mary, where he was a Monroe Scholar. He earned his M.S. in applied statistics and Ph.D. in human genetics from Vanderbilt University. He then completed postdoctoral training in exposure science and computational toxicology at the U.S EPA.

Selected Publications

  1. Chappel JR, King ME, Fleming J, Eberlin LS, Reif DM, Baker ES. Aggregated Molecular Phenotype Scores: Enhancing Assessment and Visualization of Mass Spectrometry Imaging Data for Tissue-Based Diagnostics. Anal Chem. 2023;95(34):12913-12922.
  2. Gonzalez RD, Small GW, Green AJ, Akhtari FS, Motsinger-Reif AA, Quintanilha JCF, Havener TM, Reif DM, McLeod HL, Wiltshire T. MKX-AS1 Gene Expression Associated with Variation in Drug Response to Oxaliplatin and Clinical Outcomes in Colorectal Cancer Patients. Pharmaceuticals (Basel). 2023;16(5).
  3. Jin B, Dunson DB, Rager JE, Reif DM, Engel SM, Herring AH. Bayesian matrix completion for hypothesis testing. J R Stat Soc Ser C Appl Stat. 2023;72(2):254-270.
  4. Phelps DW, Palekar AI, Conley HE, Ferrero G, Driggers JH, Linder KE, Kullman SW, Reif DM, Sheats MK, DeWitt JC, Yoder JA. Legacy and emerging per- and polyfluoroalkyl substances suppress the neutrophil respiratory burst. J Immunotoxicol. 2023;20(1):2176953.
  5. Thunga P, Truong L, Rericha Y, Du J, Morshead M, Tanguay RL, Reif DM. Utilizing a Population-Genetic Framework to Test for Gene-Environment Interactions between Zebrafish Behavior and Chemical Exposure. Toxics. 2022;10(12).

Related Scientific Focus Areas

This page was last updated on Friday, August 25, 2023