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Regular version of the site
Language Proficiency
English (Fluent)
German
French
Contacts
Phone:
+7 (495) 772-95-90
27266
E-mail:
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S924
Timetable
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SPIN-RSCI: 2144-3334
ORCID: 0000-0003-4503-2682
ResearcherID: X-9131-2018
Scopus AuthorID: 57204912623
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Office hours
By agreement
Supervisors
A. Ustyuzhanin
V. V. Podolskii
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Maksim Karpov

  • Maksim Karpov has been at HSE University since 2017.

Education

  • 2020

    Master's in Applied Mathematics and Informatics
    HSE University

  • 2014

    Degree in International Relations
    Lomonosov Moscow State University

Continuing education / Professional retraining / Internships / Study abroad experience

International Seminar «Distance-Based Education in The New Decade of XXI century» (November 27, 2020) Certificate;

Process Mining: Data Science in Action, Eindhoven University of Technology (Coursera, with honors) Certificate;

Data Culture Workshop on Mastering Teaching Skills (April 2019, Faculty of Computer Science, HSE University) Certificate;

Workshop «Modern machine learning and methods of teaching data analysis» (January 2018, HSE Study Center Voronovo, Moscow region) Certificate;

Third Machine Learning Summer School (July 17 - 23, 2017, Reading University, UK)  Certificate of Attendance.

Professional Interests

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2019)

Postgraduate Studies

3rd year of study
Approved topic of thesis: Detection and prediction of storage area network anomalies by analysing historical data
Academic Supervisor: Ustyuzhanin, Andrey

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Project Workshop for Developers, Educational Center «Sirius» (1-14 February 2019)

Mentoring a group of students in the first project workshop from Yandex, HSE and Sirius. The theme of the project: «Segmentation of images of city scenes for controlling self-driving vehicles».

Summer Workshop «Island 10-21», the Far Eastern Federal University (11-13 July 2018)

Crowd-science for solving big data processing problems. Increasingly, in business and science, we are faced with tasks that require data science expertise to solve them. Is it necessary to develop our own expertise in this area? Is it possible to attract external experts? Can I use the expertise of the data science community through platforms such as kaggle, coda lab or Yandex contest? How to formulate a problem in terms of clear and adequate solutions on these platforms. We will tell you about the ways to prepare tasks, features of the platforms and will go from the idea to the publication of the contest on one of them.


Publications4

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.