With over 13 years in R&D, Mohamed is an expert in computational mathematics, quantitative finance, and accelerated computing. His work spans insurance, statistical learning, and stochastic simulation. His interdisciplinary approach led to the creation of Koios to support innovation in the financial industry.
Michaël brings over 20 years' experience in the property and casualty insurance brokerage sector. After working for several brokerage firms, he founded his own company, Assurances ML, in 2011. He successfully grew the business and sold it to Essor in 2021.
Tamara is a strategic and analytical leader known for transforming operations through data-driven insights, implementing scalable solutions, and improving overall performance.
Manuel is a professor at Université de Montréal and Chief AI Scientist at National Bank of Canada. He brings 15+ years of experience in leading applied research in algorithmic trading, market modeling, and AI-driven finance solutions.
Mouna Saaied, Executive Director APTBEF
Sylvie Giguère, Vice President, Wells Fargo Equipment Finance Canada
Kais Elloumi, Director Business Development & Financial Strategies, ELLOUMI Group
Michel Hebert, VP Research & Development, Optimum Réassurance inc.
Fabian Bastin. Professor, Université de Montréal
Alain Tapp. Professor, Artificial Intelligence, University of Montreal
Andreas Tsanakas. Reader, CASS Business School, University of London
Daniel Dufresne. Professor, University of Montreal
Frédéric Godin. Professor, Concordia University
Felisa Vázquez-Abad. Executive Director, Institute for Computer Simulation
Hirbod Assa. Professor, Liverpool Institute for Financial and Actuarial Mathematics
Maciej Augustyniak. Professor, University of Montreal
Louis G. Doray. Professor, University of Montreal
Mamadou Thiongane. Professor, Cheikh Anta Diop University
Tien Mai Ph.D. Postdoct at UdeM
Wyean Chan. Postdoctoral fellow, University of Montreal
We create solutions with Natural Language Processing at every step of the AI pipeline. From the system architecture, to the training of our models, to the optimization methods we use for efficient learning, we strive for innovation and performance.
Our goal is to build innovative and customized applications to meet our partners' needs in Artificial Intelligence by turning all interactions into business value.
Our focus is to assist our clients with the development and refinement of their existing models and workflows. Unlike traditional consulting services, we seek to generate joint intellectual property with our partners creating value from artificial intelligence applications.
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