Summary
Henry Jacobs is a career-changing educator and former data scientist with 11 years of technical experience, a PhD in Control and Dynamical Systems from Caltech, and a strong record building ML-driven recommendation engines and backend re-architectures at NYC startups. Now focused on high-school math and physics teaching in Glenview, IL, he has already improved NWEA math scores by 20% and brings research-grade rigor to classroom design, including animated Desmos visualizations for complex topics like polar coordinates. His background spans reinforcement learning for CTR optimization, LLM-powered substitution recommendation systems, and robotics research on motion-risk propagation, giving him a rare blend of applied ML, systems engineering, and deep math. Henry leverages that technical depth to design differentiated instruction and cooperative learning structures, and he’s actively connecting students to careers through events and community outreach.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Mathematics, Bachelor’s Degree Mathematics at New York University
California Institute of Technology