Jeff Chen is a Head of AI and computational scientist with 11 years of experience turning math and machine learning into production systems that impact businesses and public institutions. He has led data science organizations across industry and government—from founding FDNY’s data science team and driving ML for national economic measurement at the U.S. Bureau of Economic Analysis to scaling recommender and analytics platforms at Viaplay and optimizing heat-pump performance at Aira. Currently bootstrapping the Combient AI Center while pursuing a DPhil in Computational Statistics at Oxford, he blends rigorous research with product-focused delivery. Jeff is experienced at advising executives on strategy, building cross-functional teams, and shipping models that influence operational and policy decisions. He also has an unusual background in sports photojournalism, reflecting a practiced eye for patterns and storytelling beyond code.
11 years of coding experience
8 years of employment as a software developer
DPhil Computational Statistics, DPhil Computational Statistics at University of Oxford
BA Economics (Cum Laude), BA Economics (Cum Laude) at Tufts University
M.A. Quantitative Methods in the Social Sciences, M.A. Quantitative Methods in the Social Sciences at Columbia University
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