Summary
Ryan Searcy is a Lead Data Scientist and PhD researcher specializing in translating environmental and coastal data into actionable tools that improve community resilience to chronic and catastrophic flooding. With nine years of combined engineering, data science, and applied ocean science experience across academia, government, non-profits, and startups, he builds and deploys automated machine learning and statistical frameworks for water quality forecasting and coastal health indicators. He prioritizes stakeholder-driven design, having partnered with agencies like the California State Water Resources Control Board, Monterey Bay Aquarium, and MBARI to turn models into decision-ready products such as the California NowCast system. Obsessively organized and skilled at distilling complex analyses for diverse audiences, he blends hands-on instrumentation and field experience with production ML deployment. Based in Half Moon Bay, he remains focused on connecting people to their environment through data-informed conservation and resilience solutions.
9 years of coding experience
8 years of employment as a software developer
University of California San Diego
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Stanford University
English, Spanish