Log-concave Density Estimation with Orthogonal Independent Components with Sharvaj Kubal and Christian Campbell, 2023

Causal Inference in Directed, Possibly Cyclic, Graphical Models with Pardis Semnani, 2023

Log-Concave Density Estimation in Undirected Graphical Models with Kaie Kubjas, Olga Kuznetsova, Pardis Semnani, and Luca Sodomaco 2022

Multivariate Super-Resolution without Separation with Bakytzhan Kurmanbek, to appear in *Information and Inference*, 2023

Third-Order Moment Varieties of Linear Non-Gaussian Graphical Models with Carlos Amendola, Mathias Drton, Alexander Grosdos, and Roser Homs, to appear in *Inofrmation and Inference*, 2023

Robust Eigenvectors of Symmetric Tensors with Tommi Muller and Konstantin Usevich, *SIAM Journal on Matrix Analysis and its Applications*, 2022

Kernel Density Estimation for Totally Positive Random Vectors with Ali Zartash, *Algebraic Statistics*, 2022

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

Bimonotone Subdivisions of Point Configuraitons in the Plane with Melinda Sun, *Algebraic Statistics*, 2021

Orthogonal Decomposition of Tensor Trains with Karim Halaseh and Tommi Muller, *Linear and Multilinear Algebra*, 2021

Learning Linear Non-Gaussian Graphical Models with Multidirected Edges with Yiheng Liu and Huanqing Wang, the *Journal of Causal Inference *, 2021

Multi-trek Separation in Linear Structural Equation Models with Jean-Baptiste Seby, *SIAM Journal on Applied Algebra and Geometry (SIAGA)*, 2021

Optimal Rates for Estimation of Two-dimensional Totally Positive Distributions with Jan-Christian Huetter, Cheng Mao, and Philippe Rigollet, *Electronic Journal of Statistics*, 2020

Estimation of Monge Matrices with Jan-Christian Huetter, Cheng Mao, and Philippe Rigollet, *Bernoulli*, 2020

Maximum Likelihood Estimation for Totally Positive Log-Concave Densities with Bernd Sturmfels, Ngoc Tran, and Caroline Uhler, *Scandinavian Journal of Statistics*, 2020

Nested Covariance Determinants and Restricted Trek Separation in Gaussian Graphical Models with Mathias Drton and Luca Weihs, *Bernoulli*, 2020

Duality of Graphical Models and Tensor Networks with Anna Seigal, * Information and Inference: A Journal of the IMA*, 2019

Geometry of Log-Concave Density Estimation with Bernd Sturmfels and Caroline Uhler, *Discrete and Computational Geometry*, 2018

Superresolution without Separation with Geoffrey Schiebinger and Benjamin Recht, *Information and Inference: A Journal of the IMA*, 2018

Determinantal Generalizations of Instrumental Variables with Luca Weihs, Bill Robinson, Emilie Dufresne, Jennifer Kenkel, Kaie Kubjas, Reginald L. McGee II, Nhan Nguyen, and Mathias Drton, * Journal of Causal Inference*, 2017

The Degree of SO(n) with Madeline Brandt, Juliette Bruce, Taylor Brysiewicz, and Robert Krone, *Combinatorial Algebraic Geometry, Fields Institute Communications* Edited by Gregory Smith and Bernd Sturmfels, 2017

Singular Vectors of Orthogonally Decomposable tensors with Anna Seigal, *Linear and Multilinear Algebra*, 2017

Positive Semidefinite Rank and Nested Spectrahedra with Kaie Kubjas and Richard Robinson, *Linear and Multilinear Algebra*, 2017

Orthogonal and Unitary Tensor Decomposition from an Algebraic Perspective with Ada Boralevi, Jan Draisma and Emil Horobet, *Isreal Journal of Mathematics,* 2017

Decomposing Tensors into Frames with Luke Oeding and Bernd Sturmfels, *Advances in Applied Mathematics*, 2016

Orthogonal Decomposition of Symmetric Tensors, *SIAM Journal on Matrix Analysis and Applications*, 2016

Fixed Points of the EM Algorithm and Nonnegative Rank Boundaries with Kaie Kubjas and Bernd Sturmfels, *Annals of Statistics*, 2015

Robust Toric Ideals with Adam Boocher, *Journal of Symbolic Computation*, 2015

Artificial Intelligence for Bidding Hex with Sam Payne, *Games of No Chance*, Edited by Richard J. Nowakowski, 2015

A Tropical Proof of the Brill-Noether Theorem
with Philip Cools, Jan Darisma and Sam Payne, *Advances in Mathematics*,
2012

An Extensive Survey of Graceful Trees, Undergraduate Honors Thesis, Stanford University 2011