Summary
Jerrod Ankenman is a quantitative research leader with 12 years of experience combining applied mathematics, game theory, and machine learning to drive pre-game and in-game models for major US sports. As Director of US Sports Research at Susquehanna, he leads a 15-person team of data scientists, technologists, and traders, translating advanced algorithms into trading and wagering strategies. His PhD work at Yale on harmonic-analytic representations for matrix completion informs a principled approach to denoising and model robustness in high-noise sports data. A long-time player in strategic decision domains, he brings practical gambling and poker research experience to bear on probabilistic modeling and market-making. Based in Philadelphia, he balances deep theoretical training with hands-on product delivery in fast-paced, high-stakes environments.
13 years of coding experience
3 years of employment as a software developer
Master of Science (MS), Applied Mathematics, Master of Science (MS), Applied Mathematics at Columbia University in the City of New York
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at Yale University
Bachelor of Science (BS), Business Management, Bachelor of Science (BS), Business Management at Pepperdine University, The George L. Graziadio School of Business and Management
French, English