Egor Chimbulatov

Responsibilities

Conduct research, set up experiments

Education

2023

Bachelor's in Applied Mathematics and Computer Science
Lomonosov Moscow State University

Professional Interests

diffusion models diffusion models in text generation

Awards and Accomplishments

Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2025–2026)

Postgraduate Studies

1st year of study
Approved topic of thesis: Learning Efficient Latent Space for Diffusion Modeling in Discrete Domains
Academic Supervisor: Dmitry Vetrov

Courses (2026/2027)

Bayesian Methods for Machine Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
Deep Learning for Natural Language Processing (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus
Natural Language Processing (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
Natural Language Processing (Mago-Lego; Faculty of Computer Science)Rus
Past Courses

Timetable for today

Full timetable

Employment history

2023 - present: Centre of Deep Learning and Bayesian Methods