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English
Russian
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Phone:
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Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S925
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SPIN-RSCI: 5822-2814
ORCID: 0000-0002-1493-0319
ResearcherID: K-8856-2015
Scopus AuthorID: 57000388300
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четверг: 10:30-15:10
Supervisor
A. Ustyuzhanin
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Maxim Borisyak

  • Maxim Borisyak has been at HSE University since 2015.

Education

  • 2015

    Master's in Applied Mathematics and Physics
    Moscow Institute of Physics and Technology, DCAM

  • 2013

    Bachelor's in Applied Mathematics and Physics
    Moscow Institute of Physics and Technology, DCAM

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2016-2017)

Courses (2018/2019)

Courses (2017/2018)

Reinforcement Learning (Optional course (faculty); Faculty of Computer Science; 1, 2 module)Rus

Courses (2015/2016)

Dissertation for a degree of Candidate of Science

Publications61

Conferences

  • 2017

    18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (Seattle). Presentation: Modeling detector digitization and read-out with adversarial networks

  • 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (Seattle). Presentation: Deep Learning Method for Inferring Cause of Data Anomalies

  • 2016

    22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 (San Francisco). Presentation: Muon trigger for mobile phones

  • 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 (San Francisco). Presentation: Numerical Optimization for Fast Track Finding Based on the Artificial Retina Algorithm

  • 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 (San Francisco). Presentation: Towards automation of data quality system for CERN CMS experiment

  • 2014
    57 научная конференция МФТИ (Долгопрудный). Presentation: Применение генетических алгоритмов для эффективного решения задачи навигации

Employment history

March 2015 — present
Junior Research Fellow, full-time,
National Research University — Higher School of Economics,
department of Computer Science,
Laboratory of Methods for Big Data Analysis

Research and development of Machine Learning methods with a focus on natural sciences, close collaboration with CERN experiments.

HSE Congratulates PhD Recipients in 13 Disciplines

Of the original 300 students enrolled in doctoral programmes set to graduate this year, only 126 reached the final stage of the process—the dissertation defence. While congratulating the recent class of graduates, HSE Vice Rector Vyacheslav Bashev noted that such a large attrition rate testifies to the seriousness of those who have made it to graduation. ‘Though many of you work, you continue to invest in yourselves intellectually,’ he said.

Third Machine Learning Summer School Held in UK

On July 17-23 the Third Machine Learning summer school organized by Yandex School of Data Analysis, Laboratory of Methods for Big Data Analysis at the National Research University Higher School of Economics and Imperial College London was held in Reading, UK. 60 students, doctoral students and researchers from 18 countries and 47 universities took part in the event.