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Alejandro Murua is a full professor at the University of Montreal in the Department of Mathematics and Statistics. His research primarily focuses on the applications of statistics and probability to problems in bioinformatics, social sciences, health, data mining, and machine learning, as well as object identification and signal processing. Over the years, he has supervised numerous theses at both the Master's and Doctoral levels, contributing significantly to the academic community. He leads several research projects, including Bayesian deep learning prediction for sparse graphs and brain connectivity-based optimizations in non-invasive brain stimulation. With a robust portfolio of funded research activities and a commitment to advancing statistical methodologies, he is instrumental in improving outcomes in various scientific fields. His background encompasses a variety of statistical learning techniques and innovative applications, establishing him as a key figure in the research landscape of mathematics and statistics at the University of Montreal.
University of Montreal • Montreal, QC, Canada
Full-time faculty member involved in teaching, research, and supervision of graduate students.
Most programs require French B2 level; specific departments may require C1 or C2.