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Tag "professors"

Research Digest 2022

Research Digest 2022
Annual digest of the research activities of the Faculty of Computer Science.

Fall into ML: Autumn School and Conference on Machine Learning Held at HSE University

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.

HSE University Staff Members Elected to the Russian Academy of Sciences

Russian Academy of Sciences
The results of the vote were announced at the General Assembly of the Russian Academy of Sciences (RAS), which took place from June 1-3. The newly elected Members and Corresponding Members of the RAS include eight scholars from HSE University.

Genetics of Cardiovascular Diseases Consortium Opens at HSE University

Genetics of Cardiovascular Diseases Consortium Opens at HSE University
The Genetics of Cardiovascular Diseases Consortium, the first of this kind in Russia, was unveiled at HSE University at Cardiogenetics and Bioinformatics: 2021 Realities, an interdisciplinary forum. The consortium aims to compile a centralized and complete catalogue of the Russian population’s genomic mutations.

‘Borders Between Countries Are Becoming Blurred Thanks to Online Communication’

‘Borders Between Countries Are Becoming Blurred Thanks to Online Communication’
Professor Oleg Melnikov is among the international professors invited to work remotely with HSE University’s students this academic year. He lives in California, runs the Data Science department at a company in Palo Alto, and teaches at Stanford and other universities in the United States. At HSE University he teaches a course on machine learning for the students of the Faculty of Computer Science and the International College of Economics and Finance (ICEF), as well as a university-wide optional course, ‘Machine Learning in Python’. He spoke about his work in an interview with the HSE News Service.
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