Неудачина Ева Константиновна

Responsibilities

Conducting research within the framework of the current tasks of the Center for Deep Learning and Bayesian Methods

Education

2024

Bachelor's in Applied Mathematics and Information Science
HSE University

Professional Interests

deep learning generative AI models Neural networks

Courses (2025/2026)

Deep Learning 2 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 1, 2 module)Rus

Timetable for today

Full timetable

Employment history

Practitioner Researcher, Fusion brain AIRI

June 2024-Present

Researching personalised generation task with diffusion models based on transformer architecture. Engaged in weekly reading groups

Product Analyst, Tinkoff Bank

June 2023-September 2023

Engaged in web and product analytics. Studied the behavior of site visitors, built graphs of user events and conducted AB-testing (basic, using synthetic control method)

Backend-developer intern, Yandex.Taxi

January 2022-March 2022

Worked on the development of userver, an asynchronous framework for quick and easy creation of microservices. Used C++ and Python, worked with multithreading, code generation, Mongo and PostgreSQL databases

24

Nov

2025

Technological Breakthrough: Research by AI and Digital Science Institute Recognised at AI Journey 2025

Researchers from the AI and Digital Science Institute (part of the HSE Faculty of Computer Science) presented cutting-edge AI studies, noted for their scientific novelty and practical relevance, at the AI Journey 2025 International Conference. A research project by Maxim Rakhuba, Head of the Laboratory for Matrix and Tensor Methods in Machine Learning, received the AI Leaders 2025 award. Aibek Alanov, Head of the Centre of Deep Learning and Bayesian Methods, was among the finalists.