He graduated from WPI with a B.S. in actuarial science and an M.S. in applied statistics in 2004 and 2005, respectively. Following this he spent two years in the "real world" building predictive models in the direct marketing department at Brookstone in Merrimack, NH. He then returned to do a Ph.D. in statistics at the University of Connecticut where he graduated in 2011. This was followed by a position as a post-doctoral research fellow in the School of Public Health at UMass-Amherst from 2011-2014. In 2016, he (along with Ben Baumer and Shane Jensen) was awarded a SABR analytics conference research award for contemporary baseball analysis for "OpenWAR: An Open Source System for Evaluating Overall Player Performance in Major League Baseball". He is also the 2014 Kaggle March Machine learning madness winner (with Mike Lopez).