Ekaterina Filimoshina’s Master’s Thesis Recognized as the Best in the Joint HSE–Skoltech Program

We congratulate Ekaterina Filimoshina, research intern at the Laboratory for Geometric Algebra and Applications, on the successful defense of her master’s thesis 'Equivariant Neural Networks Based on Clifford Geometric Algebras' (research supervisor – Dmitry Shirokov).

Ekaterina’s work has been recognized as the best master’s thesis in the 2025 graduating class of the joint HSE and Skoltech educational program 'Mathematics of Machine Learning'.

We wish Ekaterina continued scientific success and a fruitful research career!

Certificate

D. Shirokov