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Stephen Vavasis is a Professor in the Department of Combinatorics and Optimization at the University of Waterloo. He holds a PhD in Computer Science obtained in 1989. His primary research areas are continuous optimization and its applications, particularly in data science. He is interested in scientific computing, numerical linear algebra, computational mechanics, and computational geometry. His research has received support from the Natural Sciences and Engineering Research Council of Canada (NSERC). Professor Vavasis teaches undergraduate and graduate courses in optimization, including Convex Optimization Analysis and Portfolio Optimization Methods. He has previously served as the Associate Dean of the Computing Faculty of Mathematics and held the position of Interim Director of the Data Science graduate programs.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.