Faculty of Science
Dr. Robeva is an Assistant Professor at the Department of Mathematics in the University of British Columbia.
Her research lies at the intersection of mathematical statistics, machine learning, combinatorics, multilinear algebra, and applied algebraic geometry. She particularly enjoys discovering mathematical structure which is inherently responsible for the successful solution to a statistical problem. Most recently she has been working on the theory of linear causal models, structured tensor decompositions, shape-constrained density estimation, and super-resolution imaging.
Prior to joining UBC, Dr. Robeva spent three years as a Statistics Instructor and an NSF Postdoctoral Fellow in the Department of Mathematics and the Institute for Data, Systems, and Society at MIT.
In the spring of 2016 she received her PhD in mathematics from UC Berkeley under the supervision of Bernd Sturmfels. Her thesis won the Bernard Friedman Memorial prize in applied mathematics.
In 2011 she received her BS with Honors in mathematics and a minor in computer science from Stanford University.