Education
University of Bern
Ph. D in Computer Science, advised by Prof. Dr. Paolo Favaro.
Thesis: Learning Object Interactions via Efficient and Controllable Generative Models.
Ph. D in Computer Science, advised by Prof. Dr. Paolo Favaro.
Thesis: Learning Object Interactions via Efficient and Controllable Generative Models.
Sep 2020 - Dec 2024
Lomonosov Moscow State University
B.S. + M.S. equivalent (with honors) in Mathematics, advised by Prof. Dr. Igor Sheipak.
Thesis: Spectral analysis of the operator in the generalized ’t Hooft model.
B.S. + M.S. equivalent (with honors) in Mathematics, advised by Prof. Dr. Igor Sheipak.
Thesis: Spectral analysis of the operator in the generalized ’t Hooft model.
Sep 2014 - June 2020
Yandex School of Data Analysis
M.S. equivalent in Data Analysis, advised by Prof. Dr. Ilya Muchnik.
Thesis: Optimization of oil production via forecast models on injection wells operation modes.
M.S. equivalent in Data Analysis, advised by Prof. Dr. Ilya Muchnik.
Thesis: Optimization of oil production via forecast models on injection wells operation modes.
Sep 2016 - June 2018
Employment
University of Bern
Postdoctoral Researcher in the Computer Vision Group. Working on world models and generative AI.
Postdoctoral Researcher in the Computer Vision Group. Working on world models and generative AI.
Jan 2025 - Present
Bern, Switzerland
Bern, Switzerland
Disney Research Studios
Research Intern in the Imaging and Video Group. Developed deep learning models for video quality enhancement: super-resolution, deinterlacing, stabilization etc.
Research Intern in the Imaging and Video Group. Developed deep learning models for video quality enhancement: super-resolution, deinterlacing, stabilization etc.
Jun 2024 - Sep 2024
Zürich, Switzerland
Zürich, Switzerland
Yandex
Software Engineer at the Backend of Yandex.Navigator. Implemented algorithms for (sub)optimal route proposals on road graphs. Improved the quiality of the service via machine learning.
Software Engineer at the Backend of Yandex.Navigator. Implemented algorithms for (sub)optimal route proposals on road graphs. Improved the quiality of the service via machine learning.
Feb 2019 - Sep 2020
Moscow, Russia
Moscow, Russia
Inline Group
ML Specialist. Developed oil production forecast models.
ML Specialist. Developed oil production forecast models.
Sep 2017 - Dec 2021
Moscow, Russia
Moscow, Russia
Publications
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
A method that straightens sampling trajectories in the flow matching framework via storing and exchanging locally optimal data-noise couplings across minibatches.
ICLR, 2025
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
A multi-modal and multi-domain ego-vision world model with precise control over object dynamics, ego-agent motion and human poses.
arXiv, 2024
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
A model to compose and animate scenes from sparse sets of visual features.
AAAI, 2025
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
A model to animate single frames with sparse motion control.
AAAI, 2024
Multi-View Unsupervised Image Generation with Cross Attention Guidance
Single image to novel view synthesis without any supervision.
arXiv, 2023
Efficient Video Prediction via Sparsely Conditioned Flow Matching
Conditioning only on a few randomly chosen past frames at each denoising step of flow matching results into a more efficient training procedure.
ICCV, 2023
Controllable Video Generation through Global and Local Motion Dynamics
A model to discover agents' action spaces from a dataset of videos in an unsupervised way. The action spaces are decomposed into global (2D shifts) and local (discrete) actions.
ECCV, 2022
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
A neural network optimization algorithm based on Kalman filtering.
AAAI, 2022