Elina Robeva
Department of Mathematics at UBC • Office MATX 1106 • erobeva@math.ubc.ca
  • Home
  • Research
  • Teaching
  • Activities
  • Group

I am an Assistant Professor at the Department of Mathematics in the University of British Columbia in beautiful Vancouver, British Columbia. I am a member of the Institute of Applied Mathematics and CAIDA, an AMII Fellow and a Canada CIFAR AI Chair.

I am excited to announce that I was promoted to an Associate Professor, effective July 1, 2025.

My research lies at the intersection of mathematical statistics, machine learning, combinatorics, multilinear algebra, and applied algebraic geometry. I particularly enjoy discovering mathematical structure which is inherently responsible for the successful solution to a statistical problem. I develop machine learning and optimization methods for inference in models that depict complex dependencies in data. My work spans causal inference, graphical models, tensor decomposition, non-parametric density estimation, and super-resolution imaging. For example, I develop theory and algorithms for:

  • causal inference for observational data (both temporal and non-temporal) in the presence of hidden variables and causal feedback loops;
  • tensor decomposition applied to statistics and machine learning problems;
  • sparse inverse problems, such as super-resolution imaging;
  • high-dimensional, non-parametric density estimation leveraging dependencies between the variables.

In addition to traditional tools from applied mathematics, I utilize algebra, geometry, and combinatorics, which often depict the structure of the models at hand.

Here is a link to my CV.

Prior to joining UBC I was priviliged to spend 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 I received my PhD in mathematics from UC Berkeley under the supervision of Bernd Sturmfels. Here is a link to my thesis, which won the Bernard Friedman Memorial prize in applied mathematics.

In 2011 I received my BS with Honors in mathematics and a minor in computer science from Stanford University.


RECENT NEWS:

  • July 2024: Max Zubkov has started a postdoc in our group after graduating from UC Berkeley.
  • June 2024: Two undergraduate stuents join the group this summer via MITACS: Zixuan Yao and Aditya Raj Dash.
  • Apr 2024: Pardis Semnani was awarded a Vanier Canada Graduate Scholarship!
  • Feb 2024: I am now an AMII fellow and a Canada CIFAR AI Chair!
  • I am spending a large portion of the Fall 2023 semester at the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago, as a co-organizer of the long program on Algebraic Statistics and Our Changing World. We have a great lineup of workshops and activities!
  • I have been awarded the Andre Aisenstadt Prize this year.
  • Our paper with Bakytzhan Kurmanbek Multivariate Super-Resolution without Separation has been accepted to Information and Inference!
  • May 2023: Pardis Semnani has won the Lorraine Schwartz Prize at UBC this year!
  • May 2023: Our BIRS Oaxaca Workshop on Computations and Data in Algebraic Statistics was great!
  • May 2023: Pardis Semnani and I have a new preprint on Causal Inference in Directed, Possibly Cyclic, Graphical models.
  • May 2023: Two undergraduates join the group this summer: Joshua Boyd (USRA) and Young Lin (WLIURA).
  • April 2023: Three new graduate students will join the group starting next year! Vince Guan will join for his PhD, Cole Gigliotti and Hossein Rahmani will join for their MSc's!