Jeffrey Naecker is a behavioral economist with 13 years of experience bridging academic research and industry practice, currently applying experimental design and machine learning at Google to study social and risk preferences. He earned a Ph.D. in Economics from Stanford and taught as an assistant professor at Wesleyan, bringing rigorous causal inference and experimental methods to product and policy questions. His background in physics and quantitative tutoring underpins a comfort with complex mathematical models and clear communication of technical ideas. Based in California, he combines scholarly curiosity with product-focused impact, translating lab insights into scalable interventions. An early career threaded through research labs and content roles reveals a habit of making technical work accessible to diverse audiences.
12 years of coding experience
5 years of employment as a software developer
B.A., Economics and Physics, B.A., Economics and Physics at University of California, Berkeley
Master of Arts (M.A.), Economics, Master of Arts (M.A.), Economics at Stanford University
Contributions:71 commits, 1 PR, 42 pushes in 7 years 11 months
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