3 Kochnovsky Proezd (near metro station 'Aeroport').
Phone: +7 (495) 772-95-90 *12332
First Deputy Dean
Deputy Dean for Research and International Relations
Deputy Dean for Methodical and Educational Work
Deputy Dean for Development, Finance and Administration
Roman Avdeev, Petukhov A.
Algebras and Representation Theory. 2019.
Belomestny D., Kraetschmer V., Hübner T. et al.
Finance and Stochastics. 2019. Vol. 23. P. 209-238.
Boros E., Cepek O., Gurvich V.
Discrete Mathematics. 2019. Vol. 342. No. 5. P. 1275-1292.
Kazeev N., Derkach D., Ratnikov F. et al.
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2019.
Izmailov P., Garipov T., Подоприхин Д. А. et al.
In bk.: Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018). 2018. P. 876-885.
The faculty trains developers and researchers. The programme has been created based on the experience of leading American and European universities, such as Stanford University (U.S.) and EPFL (Switzerland). Also taken into consideration when creating the faculty was the School of Data Analysis, which is one of the strongest postgraduate schools in the field of computer science in Russia. The wide range of elective courses will allow each student to create his or her own educational path. In the faculty, learning is based on practice and projects.
Geoffrey Decrouez has worked in the faculty since 2014. He currently teaches the courses Modern Methods of Decision Making and Probability Theory and Mathematical Statistics in the Data Science Master's programme. Geoffrey is a graduate of the Master's programme at the Grenoble National Polytechnic Institute (INPG); he received his PhD at the University of Melbourne (Australia).
Bruno Bauwens, an expert in Kolmogorov complexity, received his PhD from Ghent University in Belgium, after which he held post-doctoral fellowships at Porto University (Portugal), as well as at the University of Montpellier and University of Lorraine (both in France). He has worked at the HSE Faculty of Computer Science since September 2015.
‘I experience Moscow in a very similar way as Belgium. We also have a culture of faithful pessimism. Of course, I’m impressed by the mathematical history and general level of mathematical skills of PhD students here in Moscow. I’m also impressed by the pedagogical talents of teachers at HSE. When I’m spying in the auditoria, I see there is often a lot of interaction between the teacher and the students, even when teaching abstract and complicated topics. In the Russian language lessons, there is loads of fun and laughing…’
Attila Kertesz-Farkas received his PhD at the University of Szeged (Hungary), after which he worked at the University of Maryland (USA) and later held post-doctoral fellowships at the University of Trieste (Italy) and the University of Washington (Seattle, USA). He has been at the HSE Faculty of Computer Science since September 2015.
‘Before coming here I was a postdoc at the University of Washington in Seattle and I spent lots of time on what I really want to do in my professional career. I had several opportunities in the U.S., but unfortunately none of them seemed the right one. Then I found this opportunity at HSE in Moscow, which gives me everything I was looking for in a good job: freedom in research, a `nice city and culture to live in, and close to my home (in Hungary). I cannot imagine a better job offer than I have here at HSE. My wife is also very happy about this opportunity, as she is Muscovite.
‘I am developing novel Machine Learning and Data Mining algorithms for real-life applications. Within this I have different projects; for instance, I am currently working on a new deep learning method for matching biomolecular data. Lately, I have become interested in analyzing human motion data captured via mobile phone sensors.’