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Matias Cattaneo is a Professor in the Department of Operations Research and Financial Engineering at Princeton University. His academic work focuses on Econometrics, Statistics, and Machine Learning, with particular attention to applications in social, behavioral, and biomedical sciences. He employs quantitative methods in causal inference and program evaluation, contributing to advancements in data science and analytical techniques. Cattaneo has a commitment to improving methodologies that bolster rigorous, evidence-based decision-making across diverse disciplines. His extensive research portfolio includes the development of sophisticated statistical models and algorithms designed to address complex questions in the social sciences, thereby enhancing understanding of empirical data and its implications.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.