Patrick Burauel works as a postdoctoral scholar with Frederick Eberhardt at Caltech. An economist by training, he is exploring synergies between work on causality in machine learning and economics. In particular, he is interested in how to detect and control confounding and how to aggregate causal variables. The Principle of Independent Mechanisms guides much of his research. Though the methods he develops are domain-general, he is interested in applications in economics and neuroscience.
- Causality, Spring 2022. Visiting Graduate Student.