David M. Reif, Ph.D.

David M. Reif, Ph.D.
Chief, Predictive Toxicology Branch

Tel 984-287-3195
david.reif@nih.gov

David M. Reif David M. Reif (223KB)

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

Delivery Instructions

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.

Recent Publications

• Carberry CK, Koval LE, Payton A, Hartwell H, Ho Kim Y, Smith GJ, Reif DM, Jaspers I, Ian Gilmour M, Rager JE. 2022. Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke. Environ Int 167:107419. [Abstract Carberry CK, Koval LE, Payton A, Hartwell H, Ho Kim Y, Smith GJ, Reif DM, Jaspers I, Ian Gilmour M, Rager JE. 2022. Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke. Environ Int 167:107419.] [Full Text Carberry CK, Koval LE, Payton A, Hartwell H, Ho Kim Y, Smith GJ, Reif DM, Jaspers I, Ian Gilmour M, Rager JE. 2022. Wildfires and extracellular vesicles: Exosomal MicroRNAs as mediators of cross-tissue cardiopulmonary responses to biomass smoke. Environ Int 167:107419.]
• Green AJ, Mohlenkamp MJ, Das J, Chaudhari M, Truong L, Tanguay RL, Reif DM. 2021. Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. PLoS Comput Biol 17(7):e1009135. [Abstract Green AJ, Mohlenkamp MJ, Das J, Chaudhari M, Truong L, Tanguay RL, Reif DM. 2021. Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. PLoS Comput Biol 17(7):e1009135.] [Full Text Green AJ, Mohlenkamp MJ, Das J, Chaudhari M, Truong L, Tanguay RL, Reif DM. 2021. Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. PLoS Comput Biol 17(7):e1009135.]
• Thunga P, Truong L, Tanguay RL, Reif DM. 2021. Concurrent evaluation of mortality and behavioral responses: A fast and efficient testing approach for high-throughput chemical hazard identification. Front Toxicol 3:670496. [Abstract Thunga P, Truong L, Tanguay RL, Reif DM. 2021. Concurrent evaluation of mortality and behavioral responses: A fast and efficient testing approach for high-throughput chemical hazard identification. Front Toxicol 3:670496.] [Full Text Thunga P, Truong L, Tanguay RL, Reif DM. 2021. Concurrent evaluation of mortality and behavioral responses: A fast and efficient testing approach for high-throughput chemical hazard identification. Front Toxicol 3:670496.]
• Marvel SW, House JS, Wheeler M, Song K, Zhou YH, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. 2021. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. Environ Health Perspect 129(1):17701. [Abstract Marvel SW, House JS, Wheeler M, Song K, Zhou YH, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. 2021. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. Environ Health Perspect 129(1):17701.] [Full Text Marvel SW, House JS, Wheeler M, Song K, Zhou YH, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. 2021. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. Environ Health Perspect 129(1):17701.]
• Balik-Meisner M, Truong L, Scholl EH, La Du JK, Tanguay RL, Reif DM. 2021. Elucidating gene-by-environment interactions associated with differential susceptibility to chemical exposure. Environ Health Perspect 126(6):067010. [Abstract Balik-Meisner M, Truong L, Scholl EH, La Du JK, Tanguay RL, Reif DM. 2021. Elucidating gene-by-environment interactions associated with differential susceptibility to chemical exposure. Environ Health Perspect 126(6):067010.] [Full Text Balik-Meisner M, Truong L, Scholl EH, La Du JK, Tanguay RL, Reif DM. 2021. Elucidating gene-by-environment interactions associated with differential susceptibility to chemical exposure. Environ Health Perspect 126(6):067010.]