Matteo Bonvini


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Matteo is a sixth-year PhD student in the Department of Statistics and Data Science at Carnegie Mellon University. He is advised by Professor Edward H. Kennedy. His work has focused mainly on problems at the intersection of causal inference and nonparametric statistics and has been particularly motivated by applications in health care and public policy. Before joining Carnegie Mellon for graduate school, he worked as analyst at Cornerstone Research and received a Bachelor of Arts in Statistics from Harvard University.