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I am a mathematical modeler and software developer. Currently, I model and analyze basketball, building tools to help our coaches, scouts, sports scientists, and executives. As a graduate student, I worked with clinical epilepsy researchers to develop statistical models and simulations of human seizures. I’ve also built biophysical neural models, analyzed biological networks with graph theory, and denoised images.


Work Experience

Manager, Research |

Philadelphia 76ers


Dec 2019 - Present

Data Scientist, Research & Development |

Philadelphia 76ers


Working with the Research & Development team, I develop predictive models and web applications to help support coaches, scouts, executives, and sports scientists.

Dec 2016 - Dec 2019

Adjunct Professorial Lecturer |

American University


Instructor for Predictive Analytics ITEC 621 and Python Programming ITEC 596 / ITEC 600

Jan 2017 - Present


Education

PhD, Computational Neuroscience |

Boston University


Thesis work applied statistical point process theory to analyze spikes in the brain. These included both the familiar action potential from single cells and epileptic spikes, or "ictal discharges." Ictal discharges exhibit complex spatiotemporal structure, which we described and simulated using a point process generalized linear model (GLM).

Sept 2016

MA, Mathematics |

University of Georgia

Comprehensive exams in numerical analysis and complex variables.
Relevant coursework includes numerical analysis, dynamical systems, partial differential equations, quantum mechanics, and quantum computing.

May 2011

BS, Mathematics / AB, English |

University of Georgia

Relevant coursework includes multivariable calculus, real analysis, numerical analysis, ordinary differential equations, humanities computing. Research on algebraic graph theory and image denoising.

May 2009


Awards & Honors

Outstanding Teaching by an Adjunct

Kogod School of Business, American University

2019

Finalist, ESPN Hackathon

Sloan Sports Analytics Conference

2016

Predoctoral Training Grant, Epilepsy Foundation

"Data-driven modeling of seizure termination"

2015

Travel Award

Department of Cognitive and Neural Systems, Boston University

2013

Graduate Medical Sciences Scholarship

Graduate Program for Neuroscience, Boston University

2011

Phi Beta Kappa

University of Georgia

2006

Computer Skills

Python

JavaScript

SQL

Stan

R

Matlab

Java

Mathematica

Maple

Linux/Bash

AWS

LaTeX

Interests and Activities

Point process models, generalized linear models

Neural networks, deep learning

Numerical analysis, high performance computing, quantum computing

Sports analytics, basketball, ultimate frisbee

Saxophone, piano