Dr. Michele Santacatterina is a postdoctoral associate at the Cornell TRIPODS Center for Data Science for Improved Decision Making and Cornell Tech. His research focuses on the development and applications of statistical methods built upon the interaction between causal inference, machine learning, and mathematical optimization for optimal decision making using experimental and observational data. In general, he is interested in using machine learning methodologies to better understand cause-effect relationships.

http://michelesantacatterina.github.io

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