Erik Ferragut is a research scientist and data science leader with over a decade of experience applying mathematics, probabilistic modeling, and machine learning to high-stakes problems across healthcare, cybersecurity, and national labs. He has led teams that modernized legacy PL/SQL systems into production-ready pipelines using Python, PySpark, S3, Cassandra, and Keras, and delivered models that produced tens of millions in savings detecting fraud, waste, and abuse. At Meta and prior research roles including Oak Ridge and the NSA, he blended deep theoretical work—nonparametric Bayesian methods, compressive sensing, and algebraic analysis of quantum simulations—with pragmatic engineering to operationalize models. Comfortable across research and production, Erik is notable for translating abstract math into scalable, maintainable software and for accelerating detection systems in mission-critical domains. Based in Florida, he pairs a PhD in Mathematics with a proven track record of turning complex algorithms into stable, auditable systems.
10 years of coding experience
14 years of employment as a software developer
Ph.D., Mathematics, Ph.D., Mathematics at University of Michigan
B.S., Mathematics, B.S., Mathematics at Ursinus College
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