Summary
Evan Zamir is a data-driven product and research leader with 14 years of experience bridging quantitative science, machine learning, and biomedical engineering to build user-facing mobile products and backend data services. As Vice President at Pinpoint Predictive he applies psychometrics and ML to personalize marketing and customer experiences, translating deep academic expertise into commercial data products. His background includes faculty-level research, an NSF-funded biomechanics lab, and peer-reviewed publications, giving him uncommon depth in experimental design, statistical modeling, and algorithm development. Previously he built LTV/churn models, spam prevention, and deep-learning moderation tools at SKOUT, and developed advanced sports analytics early in his career. Based in San Francisco, he combines rigorous hypothesis-driven research habits with product-focused engineering to turn noisy behavioral data into actionable features and tooling.
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