Research

Preprints

Identifiability from Moments in Independent Component Analysis Mixture Models with Konstantin Usevich and Elina Robeva, 2026

Decomposing Determinantal Varieties from Statistics via Matroid Theory with Per Alexandersson, Yulia Alexandr, Emiliano Liwski, Fatemeh Mohammadi, 2026

Path-Dependent SDEs: Solutions and Parameter Estimation with Vincent Guan, Elina Robeva, and Darrick Lee, 2025

Characteristic Imsets for Cyclic Linear Causal Models and the Chickering Ideal with Joseph Johnson, 2025

Publications

Decomposing Conditional Independence Ideals with Hidden Variables with Yulia Alexandr, Kristen Dawson, Hannah Friedman, Fatemeh Mohammadi, and Teresa Yu, Advances in Applied Mathematics, 2025

Causal Structure Learning in Directed, Possibly Cyclic, Graphical Models with Elina Robeva, Journal of Causal Inference, 2025

Log-Concave Density Estimation in Undirected Graphical Models with Kaie Kubjas, Olga Kuznetsova, Elina Robeva, and Luca Sodomaco, Bernoulli, 2025

Homaloidal Polynomials and Gaussian Models of Maximum Likelihood Degree One with Shelby Cox and Pratik Misra, Algebraic Statistics, 2024

An Exponential Bound for Simultaneous Embeddings of Planar Graphs with Ritesh Goenka and Chi Hoi Yip, Graphs and Combinatorics, 2023

The Set of Orthogonal Tensor Trains with Elina Robeva, Vietnam Journal of Mathematics (special issue in honor of Bernd Sturmfels' 60th birthday), 2022