TOMER MANGOUBI

I am a PhD graduate of Wharton's Applied Economics program, specializing in labor, personnel, and behavioral economics. My research spans applied microeconomics, including labor economics, personnel economics, and development. Some of my recent work examines how firm-level heterogeneity — driven by differences in technology adoption, productivity, and market structure — shapes compensation contracts and earnings inequality.

I am a Machine Learning Engineer on Instacart's economics team, where I conduct applied economics R&D at the intersection of econometrics and ML engineering. Previously, I was an Associate at Analysis Group, where I was responsible for econometric and simulation-based analyses in complex antitrust matters. I completed my BS in Mathematics and Brain and Cognitive Sciences at MIT.

I would love to hear from you! Please feel free to reach out via LinkedIn.