Mohamed is a Machine Learning Research Team Lead at RBC Borealis, focusing on Bayesian Deep Learning and Asynchronous Time Series. The goal of his research is to develop machine learning models that have better performance and better uncertainty estimates.
Prior to joining Borealis, Mohamed received his Ph.D. in Computer Science from the University of British Columbia with a thesis on optimization for machine learning advised by Prof. Mark Schmidt. Formerly, he received a MASc. in Electrical Engineering from the University of British Columbia, a M.Sc. in Engineering Physics from Cairo University, and a BSc in Electrical Engineering from Cairo University.
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✉️ mohamed.o.ahmed@borealisai.com
Research
Research creates the models that underpin new products for RBC and its 17 million clients. Our research team embraces diversity of perspectives, tenacity, and creative thinking to fundamentally advance what is possible in ML.
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Research creates the models that underpin new products for RBC and its 17 million clients. Our research team embraces diversity of perspectives, tenacity, and creative thinking to fundamentally advance what is possible in ML.
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Artificial Intelligence is reshaping finance. Every day, our teams uncover new opportunities that advance the field of Artificial Intelligence, building products that impact millions of people across Canada and beyond. Find the right role for you and join the team!
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Artificial Intelligence is reshaping finance. Every day, our teams uncover new opportunities that advance the field of Artificial Intelligence, building products that impact millions of people across Canada and beyond. Find the right role for you and join the team!
Explore opportunities