Summary
Forrest Crawford is a senior researcher and interdisciplinary scientist blending applied mathematics, AI/ML, causal inference, and network science to tackle hard inferential problems in epidemiology, public health, and security. With nearly a decade of professional experience and over ten years leading teams in academia and industry, he holds senior roles at RAND, Whitespace Ltd, and Yale, where he has been embedded across biostatistics, computational biology, and network science programs. He designs data-driven methods for biosecurity and geospatial intelligence, translating methodological advances into policy-relevant analyses. Forrest’s work uniquely bridges theoretical modeling and operational decision-making, applying causal methods to messy real-world surveillance and intelligence data. Based in New Haven, he pairs a PhD from UCLA with a track record of moving complex interdisciplinary research into actionable tools and briefings.
9 years of coding experience
20 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Oberlin College
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of California, Los Angeles