Manager, Research |

Philadelphia 76ers

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.

Adjunct Professorial Lecturer |

American University

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

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).

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.

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.

Outstanding Teaching by an Adjunct

Kogod School of Business, American University

Finalist, ESPN Hackathon

Sloan Sports Analytics Conference

Predoctoral Training Grant, Epilepsy Foundation

"Data-driven modeling of seizure termination"

Travel Award

Department of Cognitive and Neural Systems, Boston University

Graduate Medical Sciences Scholarship

Graduate Program for Neuroscience, Boston University

Phi Beta Kappa

University of Georgia

Point process models, generalized linear models

Neural networks, deep learning

Numerical analysis, high performance computing, quantum computing

Sports analytics, basketball, ultimate frisbee

Saxophone, piano