Johnny Hong is a Staff Data Scientist in Berkeley with 11 years of experience applying rigorous statistics and large-scale data engineering to safety and operational challenges in major tech products. At Google he has led measurement and counter-abuse efforts for content safety and previously delivered million-dollar annual savings in Search serving through metric-driven system improvements. Trained as a UC Berkeley PhD in Statistics and with internships across Facebook, Quora, and Adobe, he blends experimental design, time-series and predictive modeling, and production monitoring to drive actionable insights. He’s comfortable bridging research and product teams—designing diagnostics, dashboards, and alerts that keep massive systems healthy—and has a track record of surfacing subtle heterogeneous effects in experiments that inform smarter interventions.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of California, Berkeley
Bachelor of Science (BS), Double Major in Applied Mathematics and Statistics (Applied Statistics Option), Bachelor of Science (BS), Double Major in Applied Mathematics and Statistics (Applied Statistics Option) at University of California, Davis
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