• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

HSE University Hosts Third Summer School on Machine Learning in Bioinformatics

Between August 23rd and 25th, the HSE Faculty of Computer Science held its annual summer school on machine learning in bioinformatics. After two years of being held online, the school returned to an offline format for this year. Over three days, more than 120 participants attended lectures and seminars by leading experts in the field from institutions such as HSE University, Skoltech, AIRI, MSU, MIPT, Genotek, and Sber Artificial Intelligence Laboratory.

Machine learning enables researchers to process the ever-increasing amounts of biological data, and this vibrant field means there is a growing demand for highly skilled biology and bioinformatics analysts. The objective of this summer school was to help learners gain a better understanding of the topic’s many various aspects. This year, the areas of focus included applied bioinformatics, the bioinformatics of DNA, RNA and proteins, elementary genomics, modern methods of data analysis, and molecular biology.

Below, event participants and organisers share their impressions of the programme.

Ekaterina Antipushina, participant, Master's student at Skoltech

'This is my first time attending the summer school, and I’ve been impressed by its format. Thanks to the speakers, I now have a better understanding of what their firms and companies are working on. The choice of speakers was superb, and it was really useful to hear lectures by experts in the field.

I particularly enjoyed the second day! I hadn’t previously known much about AIRI before, beyond hearing something about their AI school. The time we spent with their team during the summer school was truly productive. I would also like to mention Alexander Rakitko – it was thrilling to learn more about their work at Genotek'.

Elizaveta Lukyanchikova, participant, Bachelor's student at Moscow Timiryazev Agricultural Academy / Research Institute of Agricultural Biotechnology

'I found the school highly useful and informative. All the sessions I attended were interesting in their own way. My university does not offer courses in bioinformatics, let alone neural networks, and it has long been my ambition to study these topics. Each session of the summer school brought new insights and ideas. I shall also remember discussions with leading experts and researchers, inspiring us to grow and to move forward. I intend to use this learning in my studies and my work'. 

Maria Poptsova, main organiser of the summer school, academic supervisor of the Data Analysis in Biology and Medicine master's programme, head of the International Laboratory of Bioinformatics of the HSE Faculty of Computer Science

'People usually come to the field of bioinformatics in one of two ways: either they are IT professionals who study biology in order to learn how to apply the tools they already know to new problems, or they have a background in biology and study computer science to learn new ways of solving problems they have already identified. The goal of the summer school is to synchronise the knowledge of aspiring bioinformaticians and to help them navigate this field.

We are delighted that this year we were able to bring together more than a hundred people at one of HSE's building in Pokrovsky Boulevard for lectures, seminars and discussions with interesting and enjoyable speakers. Of course, our previous schools held online were also interesting, but offline has its own special charm. I would like to thank everyone who contributed to making this school happen: our wonderful lecturers, the organisers and, of course, the students.'

Veniamin Fishman, summer school lecturer, AIRI Artificial Intelligence Research Institute

'Enormous thanks to the organisers for having gathered such a lively audience! Giving my lecture was really interesting, and I particularly enjoyed the students' response – I even had to limit the number of questions for reasons of time (and answered a dozen more questions later over email). Perhaps around a hundred people, some without any background in biology, successfully solved a problem which many biologists struggle with!

The only thing I would change in the future is the possibility of broadcasting sessions via Zoom: there were many interesting reports which I would have loved to hear given the opportunity. But it is not about going completely online, because nothing can replace students' eyes shining with interest and our live interaction during the sessions!'

See also:

Analysing Genetic Information Can Help Prevent Complications after Myocardial Infarction

Researchers at HSE University have developed a machine learning (ML) model capable of predicting the risk of complications—major adverse cardiac events—in patients following a myocardial infarction. For the first time, the model incorporates genetic data, enabling a more accurate assessment of the risk of long-term complications. The study has been published in Frontiers in Medicine.

‘We Bring Together the Best Russian Scientists and AI Researchers at HSE University Site’

On October 25–26, 2024, HSE University’s AI and Digital Science Institute and the AI Research Centre hold the Fall into ML 2024 conference in Moscow. This year’s event will focus on the prospects in development of fundamental artificial intelligence, with SBER as its conference title partner.

From Sequencing to Constructing a Cardio Panel: Summer School in Cardiogenetics

From August 19 to 29, the Continuing Professional Development Centre of the HSE Faculty of Computer Science hosted the summer school 'Cardiogenetics: From Sequencing to Constructing a Cardio Panel,' organised in collaboration with the Russian Academy of Sciences' Institute of Analytical Instrumentation (IAI) and Institute of Spectroscopy (ISAN), and the Syntol company. The summer school was conducted within the framework of the Federal Research Programme for Genetic Technologies Development for 2019–2027 (Project 15.IP.21.0004). 

Genotek Becomes a Partner of HSE’s Master’s Programme ‘Data Analysis in Biology and Medicine’

In September 2024, employees of Genotek Medical Genetics Centre will act as instructors and supervisors for students’ term papers and master's theses in the ‘Data Analysis in Biology and Medicine’ programme at the HSE Faculty of Computer Science. Genotek’s expertise in Big Data analysis and bioinformatics processing of sequencing data has allowed the revision of the curriculum to include modern data analysis methods in biology and medicine.

'These Are Unforgettable Impressions, I Will Cherish Them Forever'

HSE St Petersburg International Summer School is in full swing—right now, international students from 12 countries are attending lectures and enjoying the cultural programme. The HSE News Service talked to the participants about their most vivid impressions.

HSE Researchers Demonstrate Effectiveness of Machine Learning in Forecasting Inflation

Inflation is a key indicator of economic stability, and being able to accurately forecast its levels across regions is crucial for governments, businesses, and households. Tatiana Bukina and Dmitry Kashin at HSE Campus in Perm have found that machine learning techniques outperform traditional econometric models in long-term inflation forecasting. The results of the study focused on several regions in the Privolzhskiy Federal District have been published in HSE Economic Journal.

HSE University-St Petersburg Hosts Students from 12 Countries at the International Summer School

On July 10, HSE University-St Petersburg launched the International Summer School—a series of classes for students from India, Vietnam, the Republic of Korea and other countries. Foreign guests are getting to know the university, attending lectures in six fields of study, and enjoying an inspiring cultural programme.

The XI Russian-Chinese Summer School on International Relations Kicks Off at HSE University

On July 1, 2024, the opening ceremony of the XI International Russian-Chinese Summer School on International Relations, titled ‘Partnership and Cooperation in the New World Order,’ took place. The event was organised by the HSE Faculty of World Economy and International Affairs in collaboration with HSE Centre for Comprehensive European and International Studies (CCEIS). Graduate and postgraduate students from various countries have come to Moscow to study international relations and collectively envision a new world order.

‘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.