Summary
Bryan Bischof is a Head of AI and math-trained technologist with a decade of experience building data science teams, production ML systems, and research-driven tooling from startups to enterprise. He blends deep mathematical roots (Ph.D. work in algebra and quantum invariants) with hands-on product engineering—shipping recommendation systems, demand-forecasting engines, and real-time analytics across companies like Stitch Fix, Blue Bottle, and Weights & Biases. As an author and educator, he co-wrote O'Reilly’s first book on recommendation systems, teaches masters-level data science at Rutgers, and has translated classroom materials into a textbook used in industry-facing courses. Bryan has also contributed to mechanistic interpretability research at Redwood Research and advises early-stage AI startups as an angel scout, signaling a rare mix of theory, production rigor, and market sense. Based in Oakland, he describes himself succinctly as "math math math n' donuts," reflecting a playful commitment to mathematical clarity in product work.
10 years of coding experience
16 years of employment as a software developer
Bachelor of Applied Science (BASc) Mathematics, Bachelor of Applied Science (BASc) Mathematics at Westminster College (PA)
Doctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at Kansas State University
French