Gregory J. Matthews

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Gregory J. Matthews

Born|  (1982-07-25) July 25, 1982 (age 43)
Nationality| American
Alma mater| Worcester Polytechnic Institute (BS, MS)
University of Connecticut (PhD)
Scientific career
Fields| Statistics
Institutions| Loyola University Chicago
Website| statsinthewild.com

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.

## Contents

* 1 Life
* 2 Work
* 3 Awards
* 4 References
* 5 External links

## 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]

1. ↑ 1.0 1.1 "CV". Stats In The Wild. 5 July 2012. Retrieved 2024-06-15.
2. ↑ 2.0 2.1 "Matthews, Gregory". Loyola University Chicago. Retrieved 2024-06-15.
3. ↑ "Meet the Director". Loyola University Chicago. Retrieved 2024-10-26.
4. ↑ "Data Science at Loyola University Chicago". Loyola University Chicago. Retrieved 2024-10-26.
5. ↑ "Data Art: Where Statistics Meet Creativity". Amstat News. 2 September 2024. Retrieved 2024-10-26.
6. ↑ "Data Fest". Loyola University Chicago. Retrieved 2024-10-26.
7. ↑ "ASA Datafest Loyola Chicago". Loyola University Chicago. Retrieved 2024-10-26.
8. ↑ Lopez, Michael J.; Matthews, Gregory J.; Baumer, Benjamin S. (1 December 2018). "How often does the best team win? A unified approach to understanding randomness in North American sport". The Annals of Applied Statistics. 12 (4). doi:10.1214/18-AOAS1165.
9. ↑ Baumer, Benjamin S.; Jensen, Shane T.; Matthews, Gregory J. (1 January 2015). "openWAR: An open source system for evaluating overall player performance in major league baseball". Journal of Quantitative Analysis in Sports. 11 (2). doi:10.1515/jqas-2014-0098.
10. ↑ Matthews, Gregory J.; Foulkes, Andrea S. (2015). "MixMAP : An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies". Journal of Statistical Software. 66 (Code Snippet 3). doi:10.18637/jss.v066.c03.
11. ↑ Elmore, Ryan; Matthews, Gregory J. (3 April 2022). "Bang the Can Slowly: An Investigation into the 2017 Houston Astros". The American Statistician. 76 (2): 110–116. arXiv:2009.04576. doi:10.1080/00031305.2021.1902391.
12. ↑ Brophy, Juliet K.; Matthews, Gregory J. (11 July 2022). "Reference database of teeth images from the Family Bovidae". Scientific Data. 9 (1): 396. Bibcode:2022NatSD...9..396B. doi:10.1038/s41597-022-01501-4. PMC 9273752. PMID 35817763.
13. ↑ Benjamin S. Baumer, Shane T. Jensen, and Gregory J. Matthews. "An R package enabling the computation of openWAR using MLBAM data". GitHub.`{{cite web}}`: CS1 maint: multiple names: authors list (link)
14. ↑ Baumer, Benjamin S.; Matthews, Gregory J. (3 July 2014). "A Statistician Reads the Sports Page: There is No Avoiding WAR". CHANCE. 27 (3): 41–44. doi:10.1080/09332480.2014.965630.
15. ↑ "teamcolors: Color Palettes for Pro Sports Teams". Comprehensive R Archive Network. 22 January 2020.
16. ↑ "March Machine Learning Mania 2014 Leaderboard". Kaggle.
17. ↑ "Baumer, Brudnicki, McMurray win 2016 SABR Analytics Conference Research Awards". Society for American Baseball Research. Retrieved 2024-06-15.
18. ↑ "FINALISTS NAMED IN 5TH ANNUAL NFL BIG DATA BOWL POWERED BY AWS". NFL Communications. Retrieved 2024-06-15.
19. ↑ Nguyen, Quang; Yurko, Ronald; Matthews, Gregory J. (2 April 2024). "Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data". The American Statistician. 78 (2): 199–208. doi:10.1080/00031305.2023.2242442.
20. ↑ "Committee Collaboration Yields Editors' Choice Collection". Amstat News. 2 January 2024. Retrieved 2024-06-15.

## External links[edit]

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