Laboratories
Dmitry Vetrov
Head of the Centre
The Centre conducts research in machine learning and probabilistic modelling by combining two popular approaches, neural networks and Bayesian methods. The Centre encompasses Samsung-HSE Laboratory and Laboratory of Data Analysis in Financial Technologies.
Sergei Kuznetsov
Laboratory Head
The Laboratory conducts fundamental and applied research in large-scale data analysis and intelligent systems. A particular focus is placed on integrating smart data analysis methods and applied logic.
Alexey Naumov
Laboratory Head
Laboratory’s researchers work at the intersection of statistics, optimization, probability theory, and theory of computation. Laboratory’s main aim is to develop new probabilistic and statistical approaches to current problems in data analysis.
Nikolay Vereshchagin
Laboratory Head
Laboratory conducts research in computational complexity, information theory, algorithmic statistics, combinatorial optimization, and algorithmic game theory.
Andrey Ustyuzhanin
Laboratory Head
LAMBDA focuses on using machine learning and data analysis methods to solve fundamental science problems in such areas as particle physics and astrophysics. The Laboratory cooperates with the European Organisation for Nuclear Research (CERN) and the Large Hadron Collider.
Irina A. Lomazova
Laboratory Head
The Laboratory conducts research in process mining and process-aware information systems, such as BPM systems, workflow management systems, ERP systems, and case-handling systems. The main goal is to develop new methods and approaches in PAIS modeling, analysis, and design.
Sasha Shapoval
Laboratory Head
The Laboratory works on interdisciplinary problems at the intersection of mathematics, data science, physics, economics, finance, and sociology.
Maria Poptsova
Laboratory Head
The main research areas of the Laboratory are DNA secondary structures and their role in genome functioning, chromatin organization, and DNA-protein interactions.
Dmitry I. Ignatov
Laboratory Head
The Laboratory studies recommending systems and services, develops methods for multimodal clustering and classification that allow profiling user interests based on various modalities. The Laboratory works in natural language processing, in particular, on neural-network methods for analyzing Russian-language texts.
Anton Ayzenberg
Laboratory Head
Created in 2020, International Laboratory of Algebraic Topology and its Applications develops methods of algebraic topology keeping in mind their applications in theoretical mathematics as well as the analysis of high-dimensional data, including topological analysis of neurobiological data.
Artem Babenko
Laboratory Head
Research topics of the Laboratory are computer vision, natural language processing, crowdsourcing, information retrieval, and recommender systems. Information retrieval and extraction are also an important part of any intelligent system, which can truly be called a cornerstone of the largest IT business like Amazon, Google, and Yandex.