• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
  • HSE University
  • News
  • HSE Researcher Appointed Coordinator in Large Hadron Collider Experiment

HSE Researcher Appointed Coordinator in Large Hadron Collider Experiment

HSE Researcher Appointed Coordinator in Large Hadron Collider Experiment

© Anna Pantelia / CERN

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.

The LHCb experiment is one of four experiments at the Large Hadron Collider (LHC). Teams of scientists from 87 organizations from 18 countries around the world are participating in it (HSE University joined LHCb as an associate member in June 2018). Any member of the team can nominate a candidate who they believe would be a strong coordinator. The nominations are then considered by the heads of the collaboration, who nominate the best candidate for the post. In December, Mikhail Guschin’s candidacy was unanimously approved by the LHCb Cooperation Council for a two-year term. The research fellow of the HSE University Laboratory of Methods for Big Data Analysis will begin his appointment on January 1, 2021. Among the working group coordinators of the experiment, he is the only representative of a Russian University.

‘This appointment attests to the quality of training we provide our junior researchers,’ says Denis Derkach, Head of the LHCb group at HSE University. ‘Mikhail has been working on the LHCb project for four years and has authored several publications on the application of machine learning to data processing in particle physics. The Basic Research Programme developed by HSE University and the Russian Science Foundation (RSF), which supported our research plan, undoubtedly made a decisive contribution to this success. I hope that we will continue to strengthen the positions of researchers from HSE University in the future.’

‘The first thing I experienced when I learned about my appointment was a sense of incredible responsibility,’ Mikhail Guschin says. ‘After all, this appointment is a form of international recognition of HSE University’s expertise in data analysis and machine learning; all of the participants of a major international experiment will be looking to this expertise.’

As coordinator, Mikhail Guschin will assist the working groups of the experiment in applying modern data analysis techniques in their published research. He is now preparing to take up his post: other coordinators of the team are briefing him on current matters and introducing him to the group’s immediate plans. A meeting with the management of the collaboration is also scheduled to discuss plans for the development of the working group.

Mikhail Guschin, Research Fellow, Laboratory of Methods for Big Data Analysis, Faculty of Computer Science, HSE University

Photo from personal archive

The goal of my group is to make sure machine learning (ML) techniques are applied correctly in the algorithms for collecting and analysing experimental data, because these algorithms will be running for over a year. In recent years, there has been an increase in the popularity of modern ML techniques. Therefore, it is crucial for the experiment that we ensure the correct use of this instrumentation. In particular, my task is to collect the best practices in the use of ML techniques for data analysis, and to make and disseminate recommendations among the working groups of the experiment. Another task is to advise on issues related to data analysis and ML.

Mikhail Guschin says that he expects to get involved in many interesting projects and meet many interesting people during his work as a coordinator. He would like to apply his knowledge to the LHCb experiment and perhaps uncover new secrets of the universe. In addition to working at CERN, he will continue working at HSE University. ‘I intend to continue working at the Faculty of Computer Science laboratory, which brings together a remarkable team of professionals researching the field of data analysis and machine learning.’

See also:

‘The Goal of the Spring into ML School Is to Unite Young Scientists Engaged in Mathematics of AI’

The AI and Digital Science Institute at the HSE Faculty of Computer Science and Innopolis University organised a week-long programme for students, doctoral students, and young scientists on the application of mathematics in machine learning and artificial intelligence. Fifty participants of Spring into ML attended 24 lectures on machine learning, took part in specific pitch sessions, and completed two mini-courses on diffusion models—a developing area of AI for data generation.

Software for Rapid Detection of Dyslexia Developed in Russia

HSE scientists have developed a software tool for assessing the presence and degree of dyslexia in school students based on their gender, age, school grade, and eye-tracking data. The application is expected to be introduced into clinical practice in 2024. The underlying studies were conducted by specialists in machine learning and neurolinguistics at the HSE AI Research Centre.

‘Every Article on NeurIPS Is Considered a Significant Result’

Staff members of the HSE Faculty of Computer Science will present 12 of their works at the 37th Conference and Workshop on Neural Information Processing Systems (NeurIPS), one of the most significant events in the field of artificial intelligence and machine learning. This year it will be held on December 10–16 in New Orleans (USA).

HSE University Holds HSE Sber ML Hack

On November 17-19, The HSE Faculty of Computer Science, SBER and cloud technology provider Cloud.ru organised HSE Sber ML Hack, a hackathon based around machine learning. More than 350 undergraduate and graduate students from 54 leading Russian universities took part in the competition.

HSE University Hosts Fall into ML 2023 Conference on Machine Learning

Over three days, more than 300 conference participants attended workshops, seminars, sections and a poster session. During panel discussions, experts deliberated on the regulation of artificial intelligence (AI) technologies and considered collaborative initiatives between academic institutions and industry to advance AI development through megaprojects.

HSE University to Host ‘Fall into ML 2023’ Machine Learning Conference

Machine Learning (ML) is a field of AI that examines methods and algorithms that enable computers to learn based on experience and data and without explicit programming. With its help, AI can analyse data, recall information, build forecasts, and give recommendations. Machine learning algorithms have applications in medicine, stock trading, robotics, drone control and other fields.

New Labs to Open at Faculty of Computer Science

Based on the results of a project competition, two new laboratories are opening at HSE University’s Faculty of Computer Science. The Laboratory for Matrix and Tensor Methods in Machine Learning will be headed by Maxim Rakhuba, Associate Professor at the Big Data and Information Retrieval School. The Laboratory for Cloud and Mobile Technologies will be headed by Dmitry Alexandrov, Professor at the School of Software Engineering.

Joint Project of Scientists from HSE University and Surgut State University to Help Prevent Recurrent Heart Attacks and Strokes

One of the winning projects of a competition held by HSE University’s Mirror Laboratories last June focuses on the use of machine learning technologies to predict the outcomes of acute coronary syndrome. It is implemented by HSE University’s International Laboratory of Bioinformatics together with the Research and Educational Centre of the Medical Institute at Surgut State University. Maria Poptsova, Head of the International Laboratory of Bioinformatics and Associate Professor at HSE University’s Faculty of Computer Science, talks about how this joint project originated, how it will help patients, and how work to implement it will be organised.

‘Interest in the Application of Machine Learning in Bioinformatics Is Growing by the Year’

On August 28–30, HSE University’s Faculty of Computer Science held the 4th Summer School on Machine Learning in Bioinformatics. This year, 670 people registered for the event, and over 300 visited in person. The programme included lectures and seminars on various spheres of bioinformatics: applied bioinformatics and the bioinformatics of DNA, RNA, and proteins; elementary genomics; modern methods of data analysis and molecular biology. The lectures were complemented by practical tasks aimed at different levels of knowledge.

Fall into ML 2023: HSE University’s Faculty of Computer Science Organises Conference on Machine Learning

On October 26–28, HSE University’s Institute of Artificial Intelligence and Digital Sciences at the Faculty of Computer Science will hold a conference titled Fall into ML 2023 withsupport from the HSE University AI Research Centre . The event is dedicated to promising directions of fundamental AI development.