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Professor Massimiliano Amarante holds a PhD from the Massachusetts Institute of Technology. His main fields of research are decision theory, uncertainty, and game theory, including both cooperative and non-cooperative frameworks. He is particularly interested in the rational-choice foundations of non-additive theories and neo-Bayesian statistics. He is affiliated with CIREQ, the Interuniversity Centre for Quantitative Economics Research, where he contributes to various research projects and collaborates on funding initiatives in the field. His expertise encompasses game theory, decision theory, and Bayesian econometrics, making significant contributions to understanding complex economic phenomena. Amarante is also actively involved in teaching and supervision, guiding students in mastering economics through a variety of courses.
Université de Montréal • Montréal, QC
Teaching and conducting research in economics, focusing on decision theory and game theory.
Department of Pharmacology and Physiology - Research intensive with options in Neuropharmacology and Pharmacogenomics.