Sepid Hosseini
Machine Learning Researcher @Rbc Borealis
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WORK HISTORY
Machine Learning Researcher @Rbc Borealis
Vancouver, BC, CA
Part of ATOM. ATOM, or Asynchronous Temporal Model, is a foundation model developed by RBC Borealis to enhances financial services. Trained on extensive financial datasets, ATOM excels in analyzing asynchronous event sequences, such as irregularly timed transactions, to provide accurate predictions across various financial tasks. This capability enables personalized banking experiences, including tailored recommendations and improved credit assessments, all within a framework that prioritizes responsible AI practices.
EDUCATION
Simon Fraser University
Doctor of Philosophy - PhD, Computer Science
Seoul National University
Electrical and Electronics Engineering
Seoul National University
Bachelor’s Degree, Electrical and Electronics Engineering
ABOUT SEPID HOSSEINI
My research interests include representation learning, computer vision and large foundation models.
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