Summary
Chris Jackson is an Assistant Director of Baseball Analytics with a decade of experience turning large, messy datasets into predictive models and actionable insights for the Cincinnati Reds. He blends deep academic training (Ph.D. in Physics) with practical ML engineering, having built production models and explainability tools in healthcare and sports that led to deployed solutions and measurable ROI. Comfortable across the stack—from feature engineering and embeddings to deep neural nets and NLP—he has produced creative side projects like hoopNet for NBA game prediction and BotDylan, a lyric-generating RNN, demonstrating a knack for blending domain curiosity with technical rigor. Chris has a track record of mentoring teams, winning customer bake-offs, and translating complex model metrics into business value, making him equally fluent with code, statistics, and stakeholder communication. Based in Cincinnati, he brings a rare combination of research pedigree and hands-on product delivery to sports analytics and beyond.
10 years of coding experience
12 years of employment as a software developer
Master’s Degree Physics, Master’s Degree Physics at Florida State University
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Florida State
Bachelor’s Degree Physics, Bachelor’s Degree Physics at University of North Florida