Leili Rafiee Sevyeri

Leili Rafiee Sevyeri is an Assistant Professor in the Teaching Stream at the University of Waterloo, affiliated with the David R. Cheriton School of Computer Science. Her research focuses on hybrid symbolic-numeric computation, scientific computing, and computer algebra. She holds a PhD and MSc in Applied Mathematics from Western University (2020 and 2016, respectively). Her teaching spans theoretical computer science, numerical methods in finance/business, and introductory computer science courses. She is based in location MC 6431 on campus and can be reached at leili.rafiee.sevyeri@uwaterloo.ca.

Research interests include developing computational methods at the intersection of symbolic and numeric techniques, with applications in linear algebra, polynomial systems, and matrix theory. Recent work emphasizes interpolation methods, Bohemian matrix analysis, and approximate GCD algorithms. Her publications (e.g., Google Scholar) reflect a focus on advancing computational tools for scientific and mathematical problems.

No scientific awards are explicitly listed in the provided information. Advising and grant details are not mentioned, but her academic webpage provides further details on ongoing and past projects. She is actively involved in computational mathematics education and research within the university's Faculty of Mathematics.