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Regular version of the site
Language Proficiency
English
French
Serbian
Russian
Contacts
Phone:
22026
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room T926
Timetable
SPIN-RSCI: 2734-5363
ORCID: 0000-0002-0925-3130
ResearcherID: AAY-9604-2020
Google Scholar
Office hours
According to Term Schedule, typically from 12pm to 7pm, from Monday to Saturday
Supervisor
A. Naumov
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Maxim Kaledin

  • Maxim Kaledin has been at HSE University since 2015.

Responsibilities

Research in Stochastics and multivariate statistics.

Research Projects

PDF document describing possible research directions: https://www.overleaf.com/read/wgjhsykvbwxm

Education

  • 2019

    Master's
    HSE University

  • 2017

    Bachelor's
    HSE University

Postgraduate Studies

3rd year of study
Approved topic of thesis: Uncertainty quantification in reinforcement learning
Academic Supervisor: Беломестный Денис Витальевич

Courses (2021/2022)

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Numerical Methods (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Rus

Publications2


Employment history

Research

Dec 2020 - now   Research Fellow, HDI Lab, Higher School of Economics, main topics: stochastic optimal control, high-dimensional probability theory.

Apr 2018 - Dec 2020  Research Intern, HDI Lab, Higher School of Economics, main topics: stochastic optimal control, high-dimensional probability theory.

Jul-Aug 2018  Research Intern, Huawei Moscow Research Center, main topics: antenna modelling, FDD systems.

 

Teaching

2017-now  Lecturer, Numerical Methods, third-year bachelor's course (HSE, Faculty of Computer Science).

Sept-Dec 2019  Lecturer, Stochastic Calculus, OZON Masters School.

Sept-Dec 2018  Teaching Assistant, Stochastic Calculus, MS-1 course (HSE, Faculty of Computer Science, Statistical Learning Theory MS program).

Sept-Dec 2016  Teaching Assistant, Numerical Methods, third-year bachelor's course (HSE faculty of Computer Science).

Apr-Jun 2015,2016,2017  Teaching Assistant, Abstract Algebra, first-year bachelor's course (HSE Faculty of Computer Science).

Timetable for today

Full timetable

First Cohort Graduates from Master’s Programme in Statistical Learning Theory

The Master's Programme in Statistical Learning Theory was launched in 2017. It is run jointly with the Skolkovo Institute of Science and Technology (Skoltech). The programme trains future scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory, one of the most promising fields of science. Yury Kemaev and Maxim Kaledin, from the first cohort of programme graduates, sat down with HSE News Service to talk about their studies and plans for the future.

First Cohort Graduates from Master’s Programme in Statistical Learning Theory

The Master's Programme ‘Statistical Learning Theory’ was launched in 2017, and is run jointly with the Skolkovo Institute of Science and Technology(Skoltech).