Jason H. Moore
| Jason H. Moore | |
|---|---|
| Born |
 USA |
| Fields |
Translational bioinformatics Human genetics |
| Institutions |
Dartmouth College Vanderbilt University University of Pennsylvania |
| Alma mater |
University of Michigan Florida State University |
| Academic advisors | Charles F. Sing [1] |
| Doctoral students |
Marylyn D. Ritchie [2] |
| Other notable students | Brett McKinney[5] |
| Known for |
Multifactor dimensionality reduction Founding Director of the Institute for Quantitative Biomedical Sciences (iQBS) at Dartmouth College[6] |
| Notable awards | Fellow of the AAAS[7] |
Jason H. Moore, is a translational bioinformatics scientist and human geneticist. Moore’s research focuses on the development and application of informatics methods for identifying combinations of DNA sequence variations and environmental factors that are predictive of human health and complex disease. For example, he developed the multifactor dimensionality reduction (MDR) machine learning method for detecting and characterizing combinations of attributes or independent variables that interact to influence a dependent or class variable. He then applied MDR for improved understanding of the interplay of multiple genetic polymorphisms of complex traits in genome-wide association studies. He is a former member of the National Library of Medicine grant review committee (BLIRC). He is the founding Editor-in-Chief of the journal BioData Mining,[8] and the Founder of the Institute for Quantitative Biomedical Sciences at Geisel School of Medicine of Dartmouth College where he served as Director from 2010 until 2015. He is currently the Edward Rose Professor of Informatics and Director of the Institute for Biomedical Informatics at the Perelman School of Medicine at the University of Pennsylvania where he also serves as Associate Dean for Informatics and Director of the Division of Informatics in the Department of Biostatistics and Epidemiology. Moore has mentored more than 75 undergraduate, graduate, and postgraduate students and has published more than 425 peer reviewed articles, book chapters and editorials. His translational bioinformatics research program has been continuously funded by multiple grants from the National Institutes of Health for the last 15 years. In 2011 he was elected as a Fellow of the American Association for the Advancement of Science (AAAS) and was selected as a Kavli Fellow of the National Academy of Sciences in 2013. In 2015 he was elected a Fellow of the American College of Medical Informatics (ACMI).