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Mathematics Colloquium: Eric Eager

4:00 pm – 5:00 pm
Avery Hall Room: 115
1144 T St
Lincoln NE 68508
Additional Info: AVH
The Department of Mathematics invites members of the School of Computing to attend a special lecture, “Using Machine Learning to Better Evaluate American Football Players,” by data scientist Dr. Eric Eager this Friday, Oct. 14 from 4-5 p.m. in Avery 115.

Abstract: The game of football is undergoing a significant shift towards the quantitative. Much of the progress made in the analytics space can be attributed to play-by-play data and charting data. However, recent years have given rise to tracking data, which has opened the door for innovation that was not possible before. In this talk I will describe how to gain an edge in player evaluation by building off of traditional charting data with state-of-the-art player tracking data, and foreshadow how such methods will revolutionize the sport of football in the future.

Bio: Eric Eager is the VP of Research and Development at SumerSports, a startup aimed at helping football teams optimize their decision making processes. He was previously at Pro Football Focus, where he built an industry-leading analytics group. Prior to joining PFF, he earned a PhD in mathematical biology at the University of Nebraska - Lincoln, and went on to publish 25 papers in math, biology and the scholarship of teaching and learning while a professor at the University of Wisconsin - La Crosse.

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