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Michael Matesic

Deep Learning
Generative Models
Probabilistic Models
Student Ph.D., Université de Montréal
Michael Matesic is a Ph.D. student in the Département de Physique at Université de Montréal under the joint supervision of Laurence Perreault-Levasseur and Jason Rowe.
Michael’s research combines simulation-based inference with machine learning and evidence-based Bayesian statistics to assess the reliability of potential exoplanet transit signatures.

Michael holds a Master’s degree in Physics from Bishop’s University and an Honours Bachelor of Science in Physics and Astronomy from the University of Waterloo.