Alexander Borzunov (Preferred)
Alexander Borzunov
Yandex Research Lab at HSE University
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@hse.ru
, ****@yandex-team.ru
, ****@gmail.com
, ****@gmail.com
Personal Links
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Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Researcher
Yandex Research Lab at HSE University (hse.ru)
2021 – Present
Instructor
HSE University (hse.ru)
2020 – Present
Research Engineer
Yandex (yandex-team.ru)
2019 – 2021
MS student
HSE University (hse.ru)
2018 – 2020
Software Engineering Intern
Facebook (facebook.com)
2019 – 2019
Undergrad student
Ural Federal University (urfu.ru)
2014 – 2018
Software Engineering Intern
Yandex (yandex-team.ru)
2017 – 2017
Software Engineering Intern
SKB Kontur (kontur.ru)
2016 – 2016
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coworker
Vage Egiazarian
****@yandex.ru
2022 – Present
Coauthor
Max Ryabinin
****@yandex-team.ru
2021 – Present
Coworker, MS Thesis Advisor
Artem Babenko
****@phystech.edu
2020 – Present
Coworker
Artem Filatov
****@yandex-team.ru
2019 – 2021
Coworker, MS Thesis Advisor
Andrey Rykov
****@yandex-team.ru
2019 – 2021
Coworker
Viacheslav Murashkin
****@google.com
2019 – 2019
BS Thesis Advisor
Alexander Beloborodov
****@yandex.ru
2017 – 2018
BS Advisor
Arseny M. Shur
****@urfu.ru
2014 – 2018
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
large language models, distributed training, efficient inference
2021 – Present
deep learning
2018 – Present
3D computer vision
2019 – 2021