Education and Training
PhD in Statistical Science, UCL (09/2024 – Current), London, UK.
Computationally-tractable Bayesian modeling.
Master of Science in Machine Learning, Data Science and AI, Aalto University (09/2021 – 05/2023), Espoo, Finland.
Final grade: 5.0/5.0
Bachelor of Computer Science with minor in economics, Saint-Petersburg State University (09/2017 – 06/2021), St. Petersburg, Russia.
Final grade: 4.9/5.0
Cambridge summer school in Machine Learning (07/2025)
Oxford summer school in Machine Learning for Healthcare (08/2022)
Work and Research Experience
Senior Machine Learning Researcher, RemedyLogic (2023 – ).
Developing the AI-based lumbar spine recommendation system, focusing on probabilistic ML and computer vision.
Research Assistant in Probabilistic Machine Learning, Aalto University (11/2021 – 02/2024).
Bayesian nonparametric methods for modeling individualized treatment-response curves. Stack: Python, R.
Research Assistant in Statistical Machine Learning, ISTA Austria (06/2022 – 09/2022).
Bayesian modelling for multi-trait phenotypic analysis. Stack: Python, C++.
Teaching Assistant, Aalto University (11/2021 – 12/2022).
ML and Statistics courses.
Middle Data Scientist, Quantori (04/2021 – 12/2021).
Statistical analysis of medical documents.
Junior Machine Learning Researcher, SberTech (08/2020 – 04/2021).
Statistical model of time series drugs delivery.
Publications
A computationally-tractable measure of global sensitivity for sampling-based Bayesian inference (2026).
arXiv
Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics (2023).
Accepted to ML4H Symposium 2023.
PMLR, Toolkit
Explainable Empirical Risk Minimization (2022).
Accepted to Neural Computing & Applications 2023.
Springer
Honours and Awards
- Aalto Dean’s incentive-based scholarship for the Students of School of Science with excellent results (11/2023)
- Kyunghyun Cho's award for women in computer science (11/2022)
- Aalto Dean’s incentive-based scholarship for the Students of School of Science with excellent results (10/2022)
- Prize-winner of the 10th Congress of Young Scientists in the section "Machine learning and cognitive technologies" (04/2021)
- Winner of the Competition of scientific works within the 63rd All-Russian Scientific Conference of the MIPT Phystech-School of Applied Mathematics and Informatics (12/2020)
- Best oral presentation in the 63rd All-Russian Scientific Conference of the MIPT Phystech-School of Applied Mathematics and Informatics (11/2020)
