Austin Bean is a Senior Economist at Amazon, specializing in empirical industrial organization and machine learning techniques. With a PhD in Economics from The University of Texas at Austin, they previously served as an Assistant Professor at Temple University and a Postdoctoral Researcher at the Leonard Davis Institute of Health Economics. Bean has substantial experience in causal inference methods and managing teams, along with expertise in programming languages such as Julia, Stata, and Python. They are adept at presenting complex economic concepts to diverse audiences and have worked extensively with large unstructured datasets.
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