Gregory J. Matthews

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Gregory J. Matthews, Ph.D. is an American statistician known for work in applied statistics and sports analytics. He is currently an associate professor of statistics at Loyola University Chicago.

Life[edit]

Matthews earned his B.S. in Actuarial Science in 2004 and M.S. in Applied Statistics in 2005, both from Worcester Polytechnic Institute. He then completed his Ph.D. in Statistics from the University of Connecticut in 2011, followed by a post-doc appointment at the University of Massachusetts-Amherst from 2011 to 2014.^[1]

Matthews joined the Department of Mathematics and Statistics at Loyola University Chicago as an Assistant Professor in 2014. He was promoted to Associate Professor with tenure in 2020. He also serves as the director of The Center for Data Science and Consulting at Loyola University Chicago.^[2][3]

Work[edit]

Upon arrival at Loyola University Chicago, Matthews taught in the department of mathematics and statistics. He was instrumental in the development and founding of the data science degree programs and the Center for Data Science and Consulting at Loyola. He now serves as the director for the Center for Data Science and Consulting.^[4][5] Matthews has also organized the ASA DataFest at Loyola University Chicago since 2016, for which he chairs the organizing committee.^[6][7]

Matthews has a multitude of publications on various topics in applied statistics^[1], including missing data methods, statistical disclosure control, statistical shape analysis, and statistics in sports.^[2] His research papers have been published in prominent statistics journals such as The Annals of Applied Statistics^[8], Journal of Quantitative Analysis in Sports^[9], Journal of Statistical Software^[10], The American Statistician.^[11], and Scientific Data.^[12]

He is the author of several open-source R packages, including openWAR, a package for evaluating baseball players,^[13][14] and teamcolors, which provides color palettes for sports teams.^[15]

Awards[edit]

In 2014, Matthews won the March Machine Learning Mania Kaggle competition for predicting the 2014 NCAA Men's Basketball Tournament.^[16] He was also the recipient of the 2016 Contemporary Baseball Analysis Award from the Society for American Baseball Research.^[17]

In 2023, Matthews was named finalist of the NFL Big Data Bowl for developing a novel metric called STRAIN for evaluating pass rush in American football.^[18]. This work subsequently became an article^[19] published in The American Statistician and was named to the ASA Editors' Choice Collection.^[20]

References[edit]

External links[edit]

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