Jason Moore is the Frank Lane Research Scholar in Computational Genetics and Director of Bioinformatics at Dartmouth Medical School, where he holds positions as Associate Professor of Genetics and Adjunct Associate Professor of Community and Family Medicine. He also holds positions as Affiliate Associate Professor of Computer Science at the University of New Hampshire and Adjunct Associate Professor of Computer Science at the University of Vermont. He was previously an Ingram Associate Professor of Cancer Research at Vanderbilt University Medical School, where he held positions as Assistant and Associate Professor of Molecular Physiology and Biophysics. He has won numerous awards including the James V. Neel Young Investigator award from the International Genetic Epidemiology Society and a Best Paper award from the ACM Genetic and Evolutionary Computing Conference (GECCO). He is currently Editor in Chief of a new journal, BioData Mining, that is published by BioMed Central.

Moore is a graduate of the University of Michigan in Ann Arbor, where he earned an MS in Human Genetics, an MA in Applied Statistics, and a PhD in Human Genetics. His dissertation work focused on computational and statistical methods for the genetic analysis of blood pressure change over a 24-hour period. He is also a graduate of Florida State University in Tallahassee, where he earned a BS in Biological Sciences.

His research focuses on the development, evaluation, and application of data mining and machine learning methods for the identification of genetic, genomic, and proteomic predictors of common human diseases, such as cancer and cardiovascular disease. Moore and his team have developed a number of novel machine learning methods, including multifactor dimensionality reduction (MDR) that uses constructive induction to detect nonlinear interactions among two or more attributes. He has published more than 150 peer-reviewed papers in journals and conference proceedings, and has delivered more than 100 invited lectures, including keynote lectures at the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology and the 2006 Annual Conference on the Mathematics of Information Technology and Complex Systems. More information about Moore and his work can be found at www.epistasis.org.