Jack Klys

Software Engineer, Machine Learning

Jack Klys is a skilled professional in the fields of mathematics and machine learning, with significant experience as both a researcher and educator. Jack served as a Postdoctoral Research Fellow at the University of Toronto, where research focused on machine learning in collaboration with the Vector Institute and also in number theory while at the University of Calgary. Jack has held positions as a Software Engineer at Meta and as a Machine Learning Engineer at Fathom. Teaching capabilities include instructing undergraduate courses in calculus and linear algebra, as well as coordinating a calculus course for a large student body. Academic qualifications include a Bachelor of Science in Mathematics from the University of Waterloo, a Master of Science, and a Doctor of Philosophy in Mathematics from the University of Toronto.

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