PhD, Statistics, CMU, 2015
MS, Statistics, CMU, 2011
BS, Computational Finance and Statistics, CMU, 2010
Research: Below is a selection of my current and past research projects
- Record linkage / entity resolution / duplicate detection / data matching / disambiguation (with applications in human rights, government, and sports datasets)
- Clustering (when the number of clusters is large, when multiple estimates of pairwise dissimilarity exist)
- Classification and Prediction (specifically, prediction with classifier ensembles)
- Synthetic ecosystems (for use in modeling the spread of infectious diseases)
- Sports (player evaluation in hockey, player and coach evaluation in football, model-based clustering for pitch classification in baseball)
Teaching: In Fall 2015, I am teaching 36-217 Probability Theory and Random Processes. This course provides an introduction to probability theory, intended for students in Electrical and Computer Engineering. Topics include elementary probability theory, conditional probability and independence, random variables, distribution functions, joint and conditional distributions, limit theorems, Poisson processes, and Markov chains.
For more information about my teaching and research experiences, please see my CV.
- I am a co-creator (and alumnus) of WAR On Ice, a website dedicated to the advancement of statistical analysis in ice hockey, built entirely using R and Shiny.
- I am an assistant coach with the Carnegie Mellon University ice hockey team.
- I am the faculty co-advisor of the Tartan Sports Analytics Club.
- I am a consultant for professional sports teams.
Contact: Please see my CV for contact information.