Stanford University
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Richard Haarburger
Postdoctoral Scholar, General Internal Medicine
BioRichard Haarburger is a postdoctoral scholar in general medicine with a background in economics. During his PhD, he worked on addressing measurement biases and data gaps, handling high-dimensional data, and quantifying the implications of heterogeneous technology adoption. During his time as a scientific trainee at the Joint Research Centre of the European Commission, he conducted policy research on Europe's competitiveness in industrial automation technologies and the increasing adoption of AI in manufacturing.
At Stanford, he applies causal inference methods to research questions in population health and epidemiology. His research interests include impact evaluation methods, causal machine learning, and the impact of AI on healthcare and the economy.