Elina Robeva

Elina Robeva is an Associate Professor of Mathematics at UBC. Her research lies at the intersection of mathematical statistics, machine learning, combinatorics, multilinear algebra, and applied algebraic geometry. ​​She develops machine learning and optimization methods for inference in models that depict complex dependencies in data. Her work spans causal inference, graphical models, tensor decomposition, non-parametric density estimation, and super-resolution imaging. Dr. Robeva is a recipient of the SIAM Algebraic Geometry Early Career Prize, CAIMS/PIMS Early Career Research Award, and the André-Aisenstadt Prize. She is a fellow of the Alberta Machine Intelligence Institute and a Canada CIFAR AI Chair.