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Regular version of the site
Language Proficiency
English
Russian
Contacts
Phone:
+7(495) 772-9590 * 15085
E-mail:
Address: Кочновский проезд, дом 3, 520
Timetable
Download CV
SPIN-RSCI: 5822-2814
ORCID: 0000-0002-1493-0319
ResearcherID: K-8856-2015
Scopus AuthorID: 57000388300
Google Scholar
Consultation hours
четверг: 10:30-15:10
Supervisor
A. Ustyuzhanin
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Maxim Alexandrovich Borisyak

  • Maxim Alexandrovich Borisyak has been at HSE since 2015.

Education

  • 2015

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

  • 2013

    Bachelor 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)

Postgraduate Studies

3rd year of study
Approved topic of thesis: Система обработки данных для космической обсерватории на основе мобильных телефонов для наблюдения за космическим излучением ультра-высоких энергий
Academic Supervisor: Ustyuzhanin, Andrey

Courses (2018/2019)

Courses (2017/2018)

Courses (2016/2017)

Machine Learning and Data Mining (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng

Courses (2015/2016)

Publications31

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 researcher, part-time,
National Research University — Higher School of Economics,
department of Computer Science,
Laboratory of Methods for Big Data Analysis


Participation in teaching: deliver lectures on Big Data technologies and Machine Learning. Main responsibility is collaboration of the laboratory and Yandex scientific group with the CRAYFIS project — responsible for massive data analysis and processing pipeline.


October 2014 — March 2015
Researcher, part-time,
Retail Rocket


The company provides recommender systems as a service. Was responsible for research in the area and massive data analysis. Developed a number of improvements for the current system, supported migration to the Spark (Scala) ecosystem, played the key role in development of long-term research strategy for the company. The main achievement is an algorithm for short-term user interest detection based on information theory and the corresponding recommender algorithm, which was one of the main company’s marketing advantages at the time. Was offered the position of the research leader.


July 2012 — June 2013
Junior researcher, part-time,
DATADVANCE.


The company provides Machine Learning and optimization software for engineering. The main product is pSeven platform — dataflow engine powered by a number of state-of-art algorithms. My responsibilities included wide range of tasks from software development (C++/Python) to application of Machine Learning to particular optimization tasks (based on the company products) and research in static dataflow analysis (main responsibility). The main result is theoretical algorithms for validation and optimization of dataflows for execution in homogeneous computing environment (clusters, clouds). The Bachelor’s dissertation is based on this research.

Timetable for today

Full timetable

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.