Timothy J. Hohman, PhD
Dr. Timothy Hohman is a Professor of Neurology, cognitive neuroscientist, and computational geneticist. Dr. Timothy Hohman is an Associate Professor of Neurology, cognitive neuroscientist, and computational geneticist. Dr. Hohman’s research leverages advanced computational approaches from genomics, proteomics, and neuroscience to identify novel markers of Alzheimer’s disease risk and resilience. He leads the Biomarker Core for the Vanderbilt Memory & Alzheimer’s Center and holds leadership positions in multiple international consortia, including serving as the Contact-PI for the Alzheimer’s Disease Sequencing Project Phenotype Harmonization Consortium (ADSP-PHC; U24-AG074855) and directing the Genomics Core for the Preclinical Alzheimer’s Consortium.
Dr. Hohman received his BA in Psychology (magna cum laude) from Gordon College, followed by his MA in Psychology from American University. He received his doctoral degree in neuroscience from American University focusing on cognitive and neural changes during normal aging. He also completed a fellowship as part of the National Institutes of Health Graduate Partnership Program in the Laboratory of Behavioral Neuroscience at the National Institute on Aging. He completed his postdoctoral training at Vanderbilt where he was a T32 postdoctoral research fellow as part of the Neurogenomics training program in 2012, a recipient of the Pharmaceutical Research and Manufacturers of America Foundation postdoctoral fellowship in translational medicine and therapeutics in 2013, and a K12 Building Interdisciplinary Research Careers in Women’s Health Scholar in 2015.Building Interdisciplinary Research Careers in Women’s Health Scholar in 2015.
Research Information
Dr. Hohman’s programmatic research focuses on understanding how certain individuals are able to accumulate Alzheimer’s disease neuropathology without showing clinical symptoms of the disease. He has identified molecular drivers of such resilience through genomic and proteomic analyses leveraging neuroimaging and neuropathology endophenotypes. Dr. Hohman’s team also integrates these diverse data types into a precision medicine approach, focusing on characterizing the best predictors of risk and resilience given an individual’s age, sex, genetic, and neuropathological context. Through transdisciplinary collaboration, Dr. Hohman’s team seeks to facilitate a more rapid move from genomic discovery to therapeutic development.
More information on Dr. Hohman’s research can be found on the VMAC website.