Max Leroux
Education
M.Sc., applied finance, and B.Sc., economics, Université du Québec à Montréal
Summary of Experience
Mr. Leroux specializes in the development and application of machine learning (ML), big data technologies, and software engineering to tackle complex problems related to health care, finance, fraud detection, client engagement, process automation, credit and market risks, and marketing analytics. His experience includes developing human-in-the-loop automated predictive modeling systems, credit and market risk assessment and management models, next-best-offer and recommendation engines, behavioral analytics models, order-based fraud detection systems, portfolio rebalancing models, and ad campaign-targeting models. Mr. Leroux has significant experience designing and implementing technology infrastructures, both on cloud platforms and on premises related to web apps and big data processing technologies. He has also supported litigation experts in areas such as source code review and technology assessment. Prior to joining Analysis Group, his roles included chief analytics officer at BrainFinance, consultant data scientist at Keyrus, and data scientist at the National Bank of Canada. Mr. Leroux is a member of the Quebec Chartered Professional Accountants (CPA) Order.
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Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada
American Journal of Clinical Dermatology, 2024
2024Muntyanu A, Milan R, Kaouache M, Ringuet J, Gulliver W, Pivneva I, Royer J, Leroux M, Chen K, Yu Q, Litvinov I, Griffiths CEM, Ashcroft DM, Rahme E, Netchiporouk E
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November 6, 2022
