PhD theses

Muhammad Ardiyansyah. Algebraic Aspects of Hidden Variable Models. 2019-2023.
Olga Kuznetsova. Interactions of Algebra, Statistics and Optimization. 2019-2023.

Master’s theses

Emil Verkama. Repairing the Universality Theorem for 4-Polytopes. 2023. (Supervised by me, advised by Tobias Boege.)
Huanhuan Chen. Infinitesimally rigid factorizations of nonnegative rank four. 2019. (In Paris.)
Mateo Rendon Jaramillo. An algebraic and combinatorial perspective on rank-one tensor completion. 2018.
Marc Härkönen. Holonomic least angle regression. 2017. (Supervised by Camilla Hollanti, advised by Tomonari Sei and me.)

Bachelor’s theses

Kasper Rantamäki. Zero-shot classifier based on robust ellipsoid optimization. 2023.
Alex Halme. Permutation-based Algorithms for Causal Inference under Interventions. 2023.
Matias Koponen. Mathematical Modelling of Mental Rotation. 2023. (Supervised by me, advised by Stéphane Deny and Petteri Kaski.)
Theo Elenius. Algebraic geometry of deep polynomial neural networks. 2022.
Akseli Anttonen. Introduction to persistent homology. 2022.
Inari Puhto. Finding polynomial equations from samples. 2021.
Venla Valve. Estimating the dimension of algebraic varieties from samples. 2021.
Saku Myllymäki. Rank-1 tensor completion for small tensors using group actions. 2021.
Aleksi Lahti. Classifying critical points of Euclidean distance from real plane curves. 2021. (Supervised by me, advised by Luca Sodomaco.)
Etna Lindy. Parameter estimation for phylogenetic group-based models in the probability and Fourier coordinates. 2020.
Aapo Pajala. Euclidean distance geometry and its applications in 3D genome reconstruction. 2020.
Aki Malinen. Algebraic methods for maximum likelihood estimation. 2020.