Fedor Ratnikov
- Leading Research Fellow: 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
- Fedor Ratnikov has been at HSE University since 2016.
Education and Degrees
Moscow Institute of Physics and Technology
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.
Supervisor of the following Doctoral theses
- 1F. Buzaev Climate Prediction Using Physics-Informed Neural Networks
- 2F. Ghazzawi Online fast-simulation machine-learning based system for a particle detector
Courses (2024/2025)
- Deep Learning (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Deep Learning (Mago-Lego; 1, 2 module)Eng
- Research Seminar "Data Analysis in the Natural Sciences" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Past Courses
Courses (2023/2024)
- Deep Learning (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 2 year, 1, 2 module)Eng
- Deep Learning (Mago-Lego; 1, 2 module)Eng
- Machine Learning for a Model Construction (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 1 year, 4 module)Rus
- Machine Learning for a Model Construction (Mago-Lego; 4 module)Rus
- Research Seminar "Data Analysis in the Natural Sciences" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
Courses (2022/2023)
- Deep Learning (Mago-Lego; 1, 2 module)Eng
- Deep Learning (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Machine Learning for a Model Construction (Mago-Lego; 4 module)Rus
- Machine Learning for a Model Construction (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics; 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
Courses (2021/2022)
- Deep Learning (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Machine Learning for a Model Construction (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics and Informatics, field of study Applied Mathematics, field of study Applied Mathematics, field of study Applied Mathematics; 1 year, 4 module)Rus
- Reinforcement Learning (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Rus
Courses (2020/2021)
- Deep Learning (Master’s programme; Faculty of Computer Science; 2 year, 1, 2 module)Eng
- Optimization in Machine Learning (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Rus
- Principles of Mathematical Models Design (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 4 module)Rus
- Reinforcement Learning (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Rus
Employment history
Professional Experience:
2016-Current Senior Researcher, High School of Economics, Moscow, Russia
2014-2015 Senior Research Associate, Nebraska Un
iversity at Lincoln, USA.
•
Integrate work of 20+ people developing simulation
and reconstruction
software for CMS detector upgrade in 2023
Fedor.Ratnikov@cern.ch
2
•
Development and support of the software for the Cal
orimeter Upgrade
project and event mixing
2008-2014 Scientist, Institute of Experimental Nucl
ear Physics (IEKP) in
Karlsruhe Institute of Technology, Germany.
•
Discovered the Higgs boson using CMS detector at LH
C (~1:10
13
signal to
background ratio)
•
Searched for new physics using CMS detector at LHC
(~1:10
14
signal to
background ratio)
•
Supervised statistical analysis and interpretation
of results in the
collaboration
•
Created a friendly physics analysis environment and
efficient use of
national computing resources by German CMS communi
ty
2005-2008 Research Associate, University of Marylan
d, USA.
•
Lead CMS jet reconstruction software development an
d validation efforts.
•
Completed full software development cycle for handl
ing calibrations for
CMS Hadron calorimeter.
1999-2005 Research Associate, Rutgers, the State Un
iversity of New Jersey, USA.
•
Developed and operated the CDF Data Handling system
managing
Petabytes of data.
•
Established complete software cycle of developing f
lexible interface to
different data handling and storage systems for the
Physics Analysis
Framework.
1994-1999 Guest Scientist, Deutsches Elektronen-Syn
chrotron (DESY), Germany.
•
Developed trigger physics simulation and real-time
emulation packages.
•
Optimized trigger system design and overall detecto
r physics performance
for the HERA-B detector at DESY
•
Coordinated software development of the group of fi
ve people
1989-1994 Scientist, Institute of Theoretical and E
xperimental Physics, Russia .
•
Developed algorithm for internal self calibration o
f the muon detector of the
GEM experiment
•
Created system for real-time readout of the CAMAC c
rates
1986-1989 Student in Institute of Theoretical and E
xperimental Physics, Russia.
•
Created physics and detector simulation of 3-meter
magnetic spectrometer
installation.
Professional Experience:
2016-Current Senior Researcher, High School of Economics, Moscow, Russia
2014-2015 Senior Research Associate, Nebraska Un
iversity at Lincoln, USA.
•
Integrate work of 20+ people developing simulation
and reconstruction
software for CMS detector upgrade in 2023
Fedor.Ratnikov@cern.ch
2
•
Development and support of the software for the Cal
orimeter Upgrade
project and event mixing
2008-2014 Scientist, Institute of Experimental Nucl
ear Physics (IEKP) in
Karlsruhe Institute of Technology, Germany.
•
Discovered the Higgs boson using CMS detector at LH
C (~1:10
13
signal to
background ratio)
•
Searched for new physics using CMS detector at LHC
(~1:10
14
signal to
background ratio)
•
Supervised statistical analysis and interpretation
of results in the
collaboration
•
Created a friendly physics analysis environment and
efficient use of
national computing resources by German CMS communi
ty
2005-2008 Research Associate, University of Marylan
d, USA.
•
Lead CMS jet reconstruction software development an
d validation efforts.
•
Completed full software development cycle for handl
ing calibrations for
CMS Hadron calorimeter.
1999-2005 Research Associate, Rutgers, the State Un
iversity of New Jersey, USA.
•
Developed and operated the CDF Data Handling system
managing
Petabytes of data.
•
Established complete software cycle of developing f
lexible interface to
different data handling and storage systems for the
Physics Analysis
Framework.
1994-1999 Guest Scientist, Deutsches Elektronen-Syn
chrotron (DESY), Germany.
•
Developed trigger physics simulation and real-time
emulation packages.
•
Optimized trigger system design and overall detecto
r physics performance
for the HERA-B detector at DESY
•
Coordinated software development of the group of fi
ve people
1989-1994 Scientist, Institute of Theoretical and E
xperimental Physics, Russia .
•
Developed algorithm for internal self calibration o
f the muon detector of the
GEM experiment
•
Created system for real-time readout of the CAMAC c
rates
1986-1989 Student in Institute of Theoretical and E
xperimental Physics, Russia.
•
Created physics and detector simulation of 3-meter
magnetic spectrometer
installation.
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.
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.
Large Hadron Collider: New Hadron Discovery Factory
LHCb, a collaboration of one of Large Hadron Collider experiments, including a team of HSE University researchers, has published a news piece about the discovery of new tetraquarks, which are exotic hadrons consisting of four quarks. This discovery was made possible thanks to massive data samples gathered by the LHCb experiment with the use of algorithms developed at HSE University.
Charmed, Doubly Strange
Algorithm devised by HSE University and Yandex helped catch new particle at the Large Hadron Collider
Leading Researcher at the HSE Faculty of Computer Science Coordinates New Experiment at CERN
Fedor Ratnikov, a leading researcher at the Laboratory of Methods for Big Data Analysis (LAMBDA), has been appointed project coordinator in the SHiP collaboration. He will be responsible for developing and designing the detector’s active magnetic radiation shielding.
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.
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.