Mikhail Lazarev
- Research Fellow: Faculty of Computer Science / AI and Digital Science Institute / Laboratory of Methods for Big Data Analysis
- Assistant Professor: Faculty of Computer Science / Big Data and Information Retrieval School
- Mikhail Lazarev has been at HSE University since 2021.
- Language Proficiency
- English
- French
- German
- Contacts
- Phone:
27261 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S924
- ORCID: 0000-0003-2252-625X
- ResearcherID: ABB-4417-2020
- Scopus AuthorID: 56511699800
- Google Scholar
- Supervisor
- D. Derkach
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Education and Degrees
EPFL
Moscow Institute of Physics and Technology
Moscow Institute of Physics and Technology
Courses (2025/2026)
- Introduction to Deep Learning (Bachelor field of study Applied Mathematics and Information Science; 3 year, 2, 3 module)Eng
- Introduction to Deep Learning (Bachelor field of study Applied Mathematics and Information Science, Psychology, Public Administration, Sociology, Political Science; 3 year, 2, 3 module)Eng
- Past Courses
Courses (2024/2025)
- Deep Learning 1 (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 2, 3 module)Eng
- Deep Learning Methods in Natural Sciences (Bachelor’s programme; Faculty of Economic Sciences field of study Applied Mathematics and Information Science, Economics; 3 year, 3, 4 module)Rus
- Deep Learning Methods in Natural Sciences (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Mathematical Methods for Data Analysis (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
Courses (2023/2024)
- Algorithms and Data Structures (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 1 year, 2, 4 module)Rus
- Deep Learning Methods in Natural Sciences (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 3, 4 module)Rus
- Mathematical Methods for Data Analysis (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
Courses (2022/2023)
- Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3, 4 module)Rus
- Deep Learning (Mago-Lego; 3, 4 module)Rus
Conferences
Employment history
2021 - present
Researcher
HSE University
Faculty of Computer Science
Laboratory for Big Data Analysis Methods
2013 - 2019
PhD student, Researcher at the Laboratory of Physics of Nanostructures LPN EPFL
2013 - 2017
Assistant Professor at SB EPFL Faculty (General Physics Course)
2011 - 2013
Laboratory assistant in the theoretical department of ITPE RAS
Information
Total-experience: 8 years
Scientific and teaching experience: 8 years
Teaching experience: 5 years
From Neurobiology to a Collider: HSE Researchers Present their Discoveries at ZIL.Nauka Festival
Which brain lobes should we stimulate to improve our short-term memory? What is ‘warm radiation’ and why it is so important that people help each other? Which manufacturing systems will artificial intelligence master the fastest? Scholars from HSE University offered their scientific opinions on all these and more at the ZIL.Nauka festival.
Summer School on Machine Learning in High Energy Physics Took Place
On July 15-30, the Seventh International School on Machine Learning in High Energy Physics (MLHEP) organised by the Laboratory of Methods for Big Data Analysis (LAMBDA), Yandex School of Data Analysis and EPFL (Switzerland) took place.