Stephen Vavasis is a Professor in the Department of Combinatorics and Optimization, and is a member of the Steering Committee for the Math Business and Accounting Unit.
Research
Stephen Vavasis' primary research areas are continuous optimization and application of continuous optimization to data science. Visit my current projects page and publications page for more details. He is also interested in scientific computing, numerical linear algebra, computational mechanics, and computational geometry. His research receives support from NSERC.
Teaching
Stephen Vavasis teaches courses at the undergraduate and graduate level in optimization. He has taught CO372, Portfolio Optimization Models.
Administration
From 2017 to 2020 Stephen Vavasis served as Associate Dean of Computing for the Faculty of Mathematics. In 2021 he served as Interim Director of the Data Science graduate programs. This includes the Master of Data Science and Artificial Intelligence (MDSAI), a 4-term program combining graduate coursework with an industrial coop, and Master of Mathematics of Data Science (MMath/DS), a 4- to 6-term program consisting of coursework, research, and culminating in a master's thesis.