Summary
Evan Zamir is a San Francisco–based technology leader who blends a cross-disciplinary research background with hands-on product development. As Vice President at Pinpoint Predictive since 2016, he leads data science efforts at the intersection of quantitative psychology and machine learning to power personality-driven content personalization for direct-to-consumer brands. Previously, at SKOUT, he built LTV/churn models, spam prevention, social recommendation engines, and a deep-learning–based moderation service, while also contributing as a statistical consultant. His academic career includes time as Assistant Professor at Georgia Tech, supported by NSF funding to study tissue mechanics, underscoring a strong foundation in biomedical engineering and applied mathematics. With a B.S. in Biomedical Engineering from Johns Hopkins and a Ph.D. in Biomedical/Medical Engineering from Washington University, he specializes in turning rigorous research into scalable mobile data products and backend data services.
14 years of coding experience
8 years of employment as a software developer
Johns Hopkins University
Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering at Washington University in St. Louis