Kevin Kahn is a data scientist in the San Francisco Bay Area with 10 years of experience applying statistical models and experiments to inform product and business decisions. Currently at Facebook on Site Integrity, he blends rigorous experimental design with practical metric and funnel analysis to drive measurable improvements. His background includes leading Insight Data Science programs where he scaled curriculum, launched a Decision Science offering, and implemented experimentation frameworks that doubled outreach KPIs. Trained as a PhD in biomedical engineering from Johns Hopkins, he brings deep expertise in time-series analysis, neural data, and Bayesian personalization—skills he applied to improve push-notification timing in industry. Kevin combines research-grade rigor with product sensibility, comfortable moving from terabyte-scale feature engineering to executive-facing dashboards.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering at The Johns Hopkins University School of Medicine
Bachelor's Degree Electrical and Electronics Engineering, Bachelor's Degree Electrical and Electronics Engineering at University of Maryland
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