Summary
Jamie Caldwell is a data scientist and lab manager with 11 years of experience turning uncertainty into actionable decisions for governments, universities, and startups. At Princeton they design environmental science programs while building Bayesian and predictive systems; previously they shipped production forecasting pipelines for NOAA and decision-support tools that influenced policy and hospital capacity across multiple countries. Jamie founded ZikWell to help early-stage companies implement AI agents, simulate data for scenario testing, and embed analytics into workflows so scarce or noisy data becomes a strategic asset. Hands-on in both research and deployment, they blend process-based and statistical modeling with user-centered product design to drive adoption under tight resources and high stakes. An unusual strength is deliberately simulating missing data to stress-test decisions before real-world evidence exists, helping teams act confidently without perfect information.
10 years of coding experience
7 years of employment as a software developer
B.S., Environmental Resource Management, B.S., Environmental Resource Management at Penn State University
Doctor of Philosophy - PhD, Zoology, Doctor of Philosophy - PhD, Zoology at University of Hawaii at Manoa