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 ↩ Data Scientist |Philadelphia 76ers |
2016 - Present |
| Working with the Research & Development team, I develop predictive models and web applications to help support coaches, scouts, executives, and sports scientists. |
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Adjunct Professorial Lecturer |American University |
2017 - Present |
Instructor for Predictive Analytics ITEC 621 and Python Programming ITEC 596 / ITEC 600 |
Education
PhD, Computational Neuroscience |Boston University |
2016 |
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). |
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MA, Mathematics |University of Georgia |
2011 |
Comprehensive exams in numerical analysis and complex variables. |
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BS, Mathematics / AB, English |University of Georgia |
2009 |
Relevant coursework includes multivariable calculus, real analysis, numerical analysis, ordinary differential equations, humanities computing. Research on algebraic graph theory and image denoising. |
Awards & Honors
Outstanding Teaching by an Adjunct |
2019 |
Kogod School of Business, American University |
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Finalist, ESPN Hackathon |
2016 |
Sloan Sports Analytics Conference |
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Predoctoral Training Grant, Epilepsy Foundation |
2015 |
"Data-driven modeling of seizure termination" |
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Travel Award |
2013 |
Department of Cognitive and Neural Systems, Boston University |
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Graduate Medical Sciences Scholarship |
2011 |
Graduate Program for Neuroscience, Boston University |
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Phi Beta Kappa |
2006 |
University of Georgia |
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 |
