Ilia Igashov

Ilia Igashov

PhD Student at EPFL


Ilia Igashov

I am a fourth year PhD student at École Polytechnique Fédérale de Lausanne co-advised by Prof. Bruno Correia and Prof. Michael Bronstein, and grateful to be a fellow of the EPFLglobaLeaders program and to be awarded Marie Skłodowska-Curie doctoral fellowship. My research interests lie in geometric learning and its application in scientific domains such as biology and chemistry. I am especially focused on using geometric deep learning for protein-protein interactions and drug discovery.

I earned my BS in Applied Mathematics and Physics, and my MS in Applied Mathematics and Computer Science from the Moscow Institute of Physics and Technology. Additionally, I completed the M2 program in Science in Industrial and Applied Mathematics (MSIAM) at Université Grenoble Alpes. Throughout my Master's studies, I had an opportunity to intern at Inria Rhône-Alpes and Laboratoire Jean Kuntzmann, where I was working with Dr. Sergei Grudinin.

Curriculum Vitae

Selected Publications

Multi-domain Distribution Learning for De Novo Drug Design
Arne Schneuing*, Ilia Igashov*, Adrian Dobbelstein, Thomas Castiglione, Michael Bronstein, Bruno Correia
The Thirteenth International Conference on Learning Representations (2025)
Paper Code

RetroBridge: Modeling Retrosynthesis with Markov Bridges
Ilia Igashov*, Arne Schneuing*, Marwin Segler, Michael Bronstein, Bruno Correia
The Twelfth International Conference on Learning Representations (2024) Spotlight
Paper Code

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael Bronstein, Bruno Correia
Nature Machine Intelligence 6, no. 4 (2024): 417-427
Paper Code Hugging Face

A New Age in Protein Design Empowered by Deep Learning
Hamed Khakzad*, Ilia Igashov*, Arne Schneuing*, Casper Goverde, Michael Bronstein, Bruno Correia
Cell Systems 14, no. 11 (2023): 925-939.
Paper

VoroCNN: Deep Convolutional Neural Network Built on 3D Voronoi Tessellation of Protein Structures
Ilia Igashov, Kliment Olechnovič, Maria Kadukova, Česlovas Venclovas, Sergei Grudinin
Bioinformatics 37, no. 16 (2021): 2332-2339.
Paper Code Project Page


Spherical Convolutions on Molecular Graphs for Protein Model Quality Assessment
Ilia Igashov, Nikita Pavlichenko, Sergei Grudinin
Machine Learning: Science and Technology 2, no. 4 (2021): 045005.
Paper Code Project Page


Invited Talks

Other Activities