updated reference count and made clear his role as editor-in-chief

He was a founding Director of the [http://www.accre.vanderbilt.edu/ Advanced Computing Center for Research and Education] at [[Vanderbilt University]] from 2000 until 2004 and founding Director of the Institute for Quantitative Biomedical Sciences at [[Geisel School of Medicine]] of [[Dartmouth College]] from 2010 until 2015.

== Research ==

Moore’s research focuses on the development and application of [[artificial intelligence]] and [[machine learning]] methods for modeling complex patterns in biomedical [[big data]]. A central focus is using [[informatics]] methods for identifying combinations of [[DNA]] sequence variations and environmental factors that are predictive of human [[health]] and [[Genetic disorder#Multifactorial and polygenic (complex) disorders|complex disease]]. For example, he developed the [[multifactor dimensionality reduction]] (MDR)<ref>{{Cite journal|last=Ritchie|first=Marylyn D.|last2=Hahn|first2=Lance W.|last3=Roodi|first3=Nady|last4=Bailey|first4=L. Renee|last5=Dupont|first5=William D.|last6=Parl|first6=Fritz F.|last7=Moore|first7=Jason H.|date=2001-07-01|title=Multifactor-Dimensionality Reduction Reveals High-Order Interactions among Estrogen-Metabolism Genes in Sporadic Breast Cancer|url=http://www.sciencedirect.com/science/article/pii/S0002929707614530|journal=The American Journal of Human Genetics|volume=69|issue=1|pages=138–147|doi=10.1086/321276|pmc=1226028|pmid=11404819}}</ref><ref>{{Cite journal|last=Hahn|first=L. W.|last2=Ritchie|first2=M. D.|last3=Moore|first3=J. H.|date=2003-02-12|title=Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions|url=https://academic.oup.com/bioinformatics/article/19/3/376/258073/Multifactor-dimensionality-reduction-software-for|journal=Bioinformatics|language=en|volume=19|issue=3|pages=376–382|doi=10.1093/bioinformatics/btf869|issn=1367-4803}}</ref> 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 [[Quantitative trait locus|complex traits]] in [[Genome-wide association study|genome-wide association studies]]. More recent work focuses on computational methods such as the [https://github.com/EpistasisLab/tpot tree-based pipeline optimization tool] (TPOT)<ref>{{Cite journal|last=Olson|first=Randal S.|last2=Urbanowicz|first2=Ryan J.|last3=Andrews|first3=Peter C.|last4=Lavender|first4=Nicole A.|last5=Kidd|first5=La Creis|last6=Moore|first6=Jason H.|date=2016-03-30|title=Automating Biomedical Data Science Through Tree-Based Pipeline Optimization|url=https://link.springer.com/chapter/10.1007/978-3-319-31204-0_9|journal=Applications of Evolutionary Computation|volume=9597|language=en|publisher=Springer, Cham|pages=123–137|doi=10.1007/978-3-319-31204-0_9|series=Lecture Notes in Computer Science|isbn=978-3-319-31203-3|arxiv=1601.07925}}</ref><ref>{{Cite journal|last=Olson|first=Randal S.|last2=Bartley|first2=Nathan|last3=Urbanowicz|first3=Ryan J.|last4=Moore|first4=Jason H.|date=2016-01-01|title=Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science|url=http://doi.acm.org/10.1145/2908812.2908918|journal=Proceedings of the Genetic and Evolutionary Computation Conference 2016|series=GECCO '16|location=New York, NY, USA|publisher=ACM|pages=485–492|doi=10.1145/2908812.2908918|isbn=9781450342063|arxiv=1603.06212}}</ref> for [[automated machine learning]] and [[data science]]. Current work also focuses on methods and software for [http://pennai.org accessible artificial intelligence].<ref>{{cite arxiv|last=Olson|first=Randal S.|last2=Sipper|first2=Moshe|last3=La Cava|first3=William|last4=Tartarone|first4=Sharon|last5=Vitale|first5=Steven|last6=Fu|first6=Weixuan|last7=Holmes|first7=John H.|last8=Moore|first8=Jason H.|date=2017-05-01|title=A System for Accessible Artificial Intelligence|eprint=1705.00594|class=cs.AI}}</ref><ref>{{Cite web|url=https://motherboard.vice.com/en_us/article/researchers-want-people-to-seize-the-means-of-ai-production-penn-ai|title=These Researchers Want the People to Seize the Means of AI Production|website=Motherboard|language=en-us|access-date=2017-05-06}}</ref>

== Honors ==