Denis Derkach
- Director for Applied Research and Development: Faculty of Computer Science / AI and Digital Science Institute
- Laboratory Head: Faculty of Computer Science / AI and Digital Science Institute / Laboratory of Methods for Big Data Analysis
- Associate Professor: Faculty of Computer Science / Big Data and Information Retrieval School
- Member of the HSE Academic Council
- Denis Derkach has been at HSE University since 2015.
Education and Degrees
University of Paris XI
St Petersburg State University
St Petersburg State University
Continuing education / Professional retraining / Internships / Study abroad experience
2015 University of London, lead college: London School of Economics, diploma for graduates, management.
Supervisor of the following Doctoral theses
- 1A. Ryzhikov Deep generative models for anomaly detection, 2024
- 2A. Ibrahim Using Reinforcement learning for the optimal beam control
- 3S. Ali Efficient parameterizations for training and finetuning GANs in the domain of image and audio
Courses (2023/2024)
- Generative Models in Machine Learning (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science; 4 year, 3 module)Rus
- Generative Models in Machine Learning (advanced course) (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Generative Models, Part 2 (Mago-Lego; 4 module)Rus
- Generative Models, Part 2 (Master’s programme; Faculty of Computer Science; 1 year, 4 module)Rus
- Research Seminar "Data Analysis in the Natural Sciences" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Past Courses
Courses (2022/2023)
- Chapters in Applied Statistics (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Generative Models in Machine Learning (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Rus
- Generative Models in Machine Learning (Mago-Lego; 3 module)Rus
- Generative Models in Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3 module)Rus
- Generative Models in Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 3 module)Rus
- Research Seminar "Data Analysis in the Natural Sciences" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
Courses (2021/2022)
- Chapters in Applied Statistics (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Generative Models in Machine Learning (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Rus
- Generative Models in Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3 module)Rus
- Generative Models in Machine Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 3 module)Rus
Courses (2020/2021)
- Chapters in Applied Statistics (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Generative Models in Machine Learning (Bachelor’s programme; Faculty of Computer Science; 4 year, 3 module)Rus
- Introduction to Data Analysis (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 4 module)Rus
Grants
RSCF, Presidential program for group lead by young researchers. Project 17-72-20127. New Physics Search in LHCb using Deep Learning Techniques.
RSCF, Presidential program for group lead by young researchers. Extension Program. Project 17-72-20127. New Physics Search in LHCb using Deep Learning Techniques.
Conferences
- 2023
XXIV Харитоновские тематические научные чтения по проблемам ускорительной техники и физики высоких энергий (Саров). Presentation: Анализ треугольника унитарности в схеме Кабиббо-Кобаяши-Маскава
- 2016
Fourth Annual Large Hadron Collider Physics Conference (LHCP2016) (Лунд). Presentation: CP Violation in charm decays with LHCb
VIII INTERNATIONAL WORKSHOP ON CHARM PHYSICS (Bologna). Presentation: Impact of charm physics to CKM fit
81st LHCb Collaboration Week (Сантьяго-де-Компостела). Presentation: n-faces of the Monitoring
Machine Learning in Physics (Лондон). Presentation: Yandex experience of machine learning in HEP
Seminari INFN (Болонья). Presentation: Recent advances in the Machine Learning Methods for the High-Energy Physics
Responsibilities
Academic Secretary to the Dissertation Council in Computer Science.
Member of Faculty council
Member of Faculty Research committee
Employment history
2022 - н.в. | Head of the Laboratory of methods for big data analysis (Lambda), HSE University. |
2017 – н. в. |
Assistant Professor, Higher School of Economics. |
2015 – 2022 | Senior Researcher, Higher School of Economics. |
2015 – 2017 | Researcher, Yandex Data Factory/Yandex Research. |
2013 – 2015 | Marie Curie Fellow under FP7-IEF program, University of Oxford, UK. |
2011 – 2012 | CERN Associate |
2011 – 2013 | INFN international fellow based at INFN Sezione di Bologna, Bologna, Italy. |
2007 – 2010 |
PhD Student, Laboratoire de l‘Accélérateur Linéaire, Université Paris-Sud XI, Orsay, France." |
2007 | Visiting Scientist, Deutsches Elektronen-Synchrotron, Zeuthen, Germany. |
2006 – 2007 | Engineer, Laboratory for Ultra-High Energies, St.Petersburg State University, V. A. Fock Institute for Physics, St.Petersburg, Russia |
2004 – 2007 | High School Teacher, Emperor Alexander II gymnasium, St. Petersburg, Russia. |
HSE University and Yandex to Host International AI Olympiad for Students
The HSE Faculty of Computer Science and Yandex Education are launching their first joint AI competition, Artificial Intelligence and Data Analysis Olympiad (AIDAO), for students from around the world. Participants will tackle challenging tasks in science and industry and interact with experts from HSE and Yandex. The winners will receive cash prizes.
At Sarov Technopark, Researchers from HSE Faculty of Computer Science Discussed AI for Data Analysis in Physics
The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.
Second Congress of Young Scientists: Students Are Ready to Implement Breakthrough Projects
The 2nd Congress of Young Scientists was held at the Sirius Park of Science and Art in Sochi. HSE University representatives took an active part in it, working at various venues where a wide range of topics were discussed—from university development to machine learning and scientific cinema.
Fall into ML: Autumn School and Conference on Machine Learning Held at HSE University
On November 1st-3rd, 2022 the International Laboratory of Stochastic Algorithms and High-Dimensional Inference of the HSE Faculty of Computer Science and the Laboratory of Methods for Big Data Analysis with the support of HSE AI Centre and the Russian Science Foundation organized the first autumn school and conference on artificial intelligence ‘Fall into ML’. The new format of the event included a school for students and young researchers.
Faculty of Computer Science Lab Develops Monitoring System for LHC Experiment
Researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA) at the HSEFaculty of Computer Science have created a monitoring system that is used in the Large Hadron Collider beauty experiment (LHCb). The system helps track the quality of the collected data and allows operators to quickly find errors.
From Neurobiology to a Collider: HSE Researchers Present their Discoveries at ZIL.Nauka Festival
Which brain lobes should we stimulate to improve our short-term memory? What is ‘warm radiation’ and why it is so important that people help each other? Which manufacturing systems will artificial intelligence master the fastest? Scholars from HSE University offered their scientific opinions on all these and more at the ZIL.Nauka festival.
HSE University among Founders of Super C-Tau Factory
Ten universities and institutes have announced a partnership to construct an electron-positron collider in order to study the production and properties of charmed particles and tau leptons. The new experiment will be part of the Super C-Tau Factory project. It was founded by two international teams and eight from Russia, including HSE University.
"My Model Will Be Used to Analyse Data from the ATLAS Detector Collected During the New Collider Launch in 2022"
Tigran Ramazyan, a fourth-year student of the Data Science and Business Analytics double-degree programme, has talked about his studies at the Faculty and internship at CERN openlab.
HSE Researcher Appointed Coordinator in Large Hadron Collider Experiment
Mikhail Guschin, Research Fellow at the HSE University Laboratory of Methods for Big Data Analysis of the Faculty of Computer Science, was appointed coordinator of the machine learning and statistics working group in the LHCb Large Hadron Collider experiment at CERN (the European Organization for Nuclear Research). He will be the only representative of a Russian University among the coordinators for the experiment’s working groups.
Charmed, Doubly Strange
Algorithm devised by HSE University and Yandex helped catch new particle at the Large Hadron Collider
HSE Becomes LHCb Associate Member at CERN
The Higher School of Economics has joined the LHCb collaboration at the Large Hadron Collider, which is operated by the European Organization for Nuclear Research. The group from HSE will consist of researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA). This will give HSE researchers full access to data from the collaboration and allow the university to participate in various projects.
Masterclasses Introduce High School Students to Particle Physics
National Research University Higher School of Economics hosted a masterclass in particle physics on March 27 and brought high school students to participate. These students took a day off from school to go to the University and dive into the actual data. Scientists of the HSE Laboratory of Methods for Big Data Analysis (LAMBDA) Denis Derkach and Fedor Ratnikov introduced them to the tiniest building blocks of the universe and to the accelerators and detectors which probe these mysterious particles.
Welcome Aboard: Post-Doc Introductions
Every year, HSE hires post-doctoral researchers from all over the world. And in 2017-18, more than 30 of them started work at laboratories and research centres in a large range of fields and specializations. The HSE Lookis pleased to introduce this year’s international researchers, so that you can learn more about your colleagues and find out about opportunities for potential collaboration.
HSE Researchers Receive a Grant to Search for New Physics
A team of researchers from the HSE Laboratory of Methods for Big Data Analysis (LAMBDA) has won a contest held by the Presidential Research Funding Programme. Researchers with the laboratory are developing a system of algorithms that will help physicists look for new particles in the Large Hadron Collider.
CERN Workshop at the HSE Faculty of Computer Science
Thirty school students from Moscow and the Moscow Region recently had an opportunity to meet international researchers and analyze data obtained from the Large Hadron Collider at a workshop organized by HSE’s Faculty of Computer Science, Yandex and CERN.
HSE Open Talks at HSE Day
Each year HSE welcomes new colleagues – Ph.D. holders from the world’s best universities – who join the university through the international recruiting programme. HSE continues the tradition of public lectures at HSE Day, and holds HSE Open Talks in English. Academics from all over the world representing the most diverse disciplines will discuss their research and talk with the public.
New Voices: Research Projects and Ideas
In 2015 HSE laboratories and centres chose 24 scholars as post-doctoral fellows in the fields of philosophy, history, data analysis, finance, and cognitive studies. University bulletin HSE Look introduces these researchers as well as the teams with which they are now working.
International Experts in the Faculty of Computer Science
An important step in integrating the university into the global educational, scientific and research space is the expansion of international recruiting. Since its very first year, the Faculty of Computer Science at the Higher School of Economics has had a foreign professor working on staff. In 2015, four internationally recruited experts teach and conduct research in the faculty.