Jason Moore, PhD, FACMI
Edward Rose Professor of Informatics
Dr. Moore is a translational bioinformatics scientist and human geneticist whose research focuses on the development and application of artificial intelligence and machine learning methods for modeling complex patterns in biomedical big data. One central focus of his is using informatics methods to identify combinations of DNA-sequence variations and environmental factors that predict 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 to improve how we understand the interplay of multiple genetic polymorphisms of complex traits in genome-wide association studies.
He was the founding director of the Institute for Quantitative Biomedical Sciences at the Geisel School of Medicine of Dartmouth College, where he was a member of the faculty from 2010 until 2015. He is a former member of the National Library of Medicine grant review committee. He is the founding editor-in-chief of the journal BioData Mining. He has published more than 450 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 more than 15 years.
Content Area Specialties
Artificial intelligence, bioinformatics, biomedical infromatics, clinical research informatics, complex systems, genetic epidemiology, genomics, human genetics, machine learning, network science, simulation, visual analytics
Classification, evolutionary computation, feature selection, feature construction, multiobjective optimization