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Eli Ben-Michael is an Assistant Professor of Statistics and Data Science at Carnegie Mellon University. His doctoral research was completed at the University of California, Berkeley, where he earned his Ph.D. in Statistics. Prior to this role, he was a postdoctoral fellow at the Institute for Quantitative Social Science at Harvard University. Ben-Michael's academic journey included undergraduate studies at Columbia University, where he received a bachelor's degree in Computer Science and Statistics. His research aims to develop statistical and computational methods to address practical issues in public policy and social science research. He has a particular interest in merging ideas from statistics, optimization, and machine learning to create methodologies that enable credible and robust causal inference, facilitating data-driven decision-making in various contexts.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.