Dmitri Piontkovski

Senior Research Fellow, Professor: Faculty of Economic Sciences / Department of Mathematics

Dmitri Piontkovski has been at HSE University since 2004.

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Education and Degrees

2006

Doctor of Sciences* in Mathematical Logic, Algebra and Number Theory
Lomonosov Moscow State University

1999

Candidate of Sciences* (PhD)
Lomonosov Moscow State University

1995

Degree
Lomonosov Moscow State University

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.

Continuing education / Professional retraining / Internships / Study abroad experience

Scientific visits to University of Bari Aldo Moro, Italy (2018), Warsaw University (2018), Rutgers University, USA (2017), Universidad Autonoma de Madrid (2013, 2014) and others.

Professional Interests

homological algebra Groebner bases operads noncommutative geometry input-output tables

Awards and Accomplishments

Best Teacher — 2019, 2014–2015, 2012

Courses (2024/2025)

Abstract Mathematics (Bachelor’s programme; International College of Economics and Finance field of study Economics; 3 year, 1-4 module)Eng
Applied Linear Algebra (Optional course (university); 3, 4 module)Rus
Applied linear Algebra and Numerical Methods (Minor; Faculty of Economic Sciences)Rus
Past Courses

Courses (2023/2024)

Abstract Mathematics (Bachelor’s programme; International College of Economics and Finance field of study Economics; 3 year, 1-4 module)Eng
Applied Linear Algebra (Optional course (university); 3, 4 module)Rus
Applied Methods of Linear Algebra (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Rus
Applied linear Algebra and Numerical Methods (Minor; Faculty of Economic Sciences; 3, 4 module)Rus
Linear Algebra for Data Science (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Eng
Linear Algebra for Data Science (Mago-Lego; 1, 2 module)Eng
Mathematics for Economists (Mago-Lego; 1, 2 module)Eng
Mathematics for Economists (Master’s programme; International College of Economics and Finance field of study Economics; 1 year, 1, 2 module)Eng

Courses (2022/2023)

Abstract Mathematics (Bachelor’s programme; International College of Economics and Finance field of study Economics; 3 year, 1-4 module)Eng
Applied Methods of Linear Algebra (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Rus
Applied linear Algebra and Numerical Methods (Minor; Faculty of Economic Sciences; 3, 4 module)Rus
Linear Algebra for Data Science (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Eng
Linear Algebra for Data Science (Mago-Lego; 1, 2 module)Eng
Research Seminar "Algebras and Operads" (Optional course (faculty); 1, 2 module)Rus

Courses (2021/2022)

Abstract Mathematics (Bachelor’s programme; International College of Economics and Finance field of study Economics; 3 year, 1-4 module)Eng
Applied Methods of Linear Algebra (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
Linear Algebra for Data Science (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Eng

Courses (2020/2021)

Abstract Mathematics (Bachelor’s programme; International College of Economics and Finance field of study Economics; 3 year, 1-4 module)Eng
Applied Linear Algebra (Optional course; 1, 2 module)Rus
Applied Linear Algebra (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 1, 2 module)Eng
Applied Methods of Linear Algebra (Bachelor’s programme; Faculty of Computer Science field of study Software Engineering; 3 year, 1, 2 module)Eng
Applied linear Algebra and Numerical Methods (Minor; Faculty of Economic Sciences; 3, 4 module)Rus
Linear Algebra in Applications (Mago-Lego; 3, 4 module)Rus

Timetable for today

Full timetable

Conferences

2023
NonCommutative Rings and their Applications, VIII (Lens). Presentation: Growth rate of monomial algebras as a derived invariant of noncommutative varieties

2018
International Conference on the Representations of Algebras (Прага). Presentation: Algebras of linear growth, automaton property, and the dynamical Mordell-Lang conjecture
International Conference on the Representations of Algebras (Прага). Presentation: Algebras of linear growth, automaton property, and the dynamical Mordell-Lang conjecture

2017
Groups, Rings and the Yang-Baxter equation (Spa). Presentation: Algebras of linear growth and the dynamical Mordell-Lang conjecture
Noncommutative and nonassociative algebraic structures in Physics and Geometry (ALSPAG2017) (Belfast). Presentation: Аlgebras of linear growth and the dynamical Mordell–Lang conjecture

Employment history

Professional positions.

2004--present Professor (Docent up to 2006) at HSE University
1996--2007: Researcher, Central Institute of Economics and Mathematics, Russian Academy of Sciences
2003--2004: Postdoctoral research in Institut Mittag-Leffler, Stokholm, Sweden

SCIENTIFIC VISITS:
2017 Rutgers University (USA)
2013, 2014, 2019 Universidad Autonoma de Madrid
2011 ETH Zurich
2010 Sabanci University (Istanbul, Turkey)
2008 Bar-Ilan University (Israel)
2006 MPIM (Bonn, Germany)
and IHES (Bures-sur-Yvette, France)

TEACHING EXPERIENCE:
2004-- present: HSE University,

Courses: Modern Applied Algebra, Linear Algebra, Applied Linear algebra, Calculus, Geometry and Algebra, Quantitative Methods in Economics, Abstract Mathematics, and others
1999--2000, 2021 Independent University of Moscow
Courses: High Algebra, Graded Rings Theory, Graded Rings and Their Applications
2019 Universidad Autonoma de Madrid.
Mini-course: Growth and relations of graded rings
2004 Moscow State University
Course: Algebras and Operads
2000 University of the Basque Country, Bilbao, Spain
Course: Growth of graded rings and related questions
1996--1997: Moscow State University
Course: High Algebra
1993--1996: Moscow State School #57
Course: Elements of Calculus

Oct

2021

Faculty's Researchers to Present at EMNLP 2021

The annual Conference on Empirical Methods in Natural Language Processing (EMNLP) takes place on November 7-11, 2021.

Sep

2020

Preprint publication: “The post-shock growth of the Russian economy. The experience of the 1998 and 2008 crises and a look into the future”

The work was published in the WP3 series "Labor market issues" and studies the global recession caused by the COVID-19 pandemic. Estimates suggest Russian GDP in 2020 will fall by 2–8%, meaning the current crisis may be more severe than the crises of 1998 and 2008. In the coming years, the Russian economy will have to recover and enter a new long-term growth trajectory. What sources and sectors can make this happen?

Jun

2020

Presentation of the HSE report based on Russia KLEMS data

The presentation was held on May 29, featuring IlyaVoskoboynikov, Eduard Baranov, Ksenia Bobyleva, Rostislav Kapelyushnikov, Dmitri Piontkovski, Anton Tolokonnikov, Alexander Roskin.
The report was presented by Ilya Voskoboynikov (HSE University), the discussion was led by Alexandr Shirov (IEF RAS), and the presentation was moderated by Evsey Gurvich (EEG)

May

2020

Reports of the Russia KLEMS group at the session " Economics of income and wealth"

The session was held at HSE University at the XXI April Conference in cooperation with the International Association for Income and Wealth Research (IARIW) and with the support of the Federal State Statistics Service (Rosstat).

Dec

2019

100

HSE University online courses are available on Coursera since December 23. ‘First Steps in Linear Algebra for Machine Learning’ has become the hundredth course to be offered by HSE University.