Vladimir Shchur
- Laboratory Head, Senior Research Fellow: Faculty of Computer Science / AI and Digital Science Institute / International Laboratory of Statistical and Computational Genomics
- Professor: Faculty of Computer Science / Big Data and Information Retrieval School
- Member of the HSE Academic Council
- Vladimir Shchur has been at HSE University since 2018.
- Language Proficiency
- English
- French
- Contacts
- Phone:
15060 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room G423
- ORCID: 0000-0002-1431-5260
- ResearcherID: Y-6700-2018
- Scopus AuthorID: 55504663400
- Google Scholar
- Blogs
- ResearchGate
- Supervisor
- A. V. Belov
Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.
Education and Degrees
University of Paris XI
Lomonosov Moscow State University
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.
Continuing education / Professional retraining / Internships / Study abroad experience
PhD thesis in Mathematics at l’Université Paris-Sud and at l’Ecole Normale
Supérieure (Paris, France), advisor professor P. Pansu, 2009-2013.
PhD (Diplome National de Docteur Mathematiques, mention tres honorable), Universite Paris XI, 08/07/2013
ATER, Department of Mathematics, University Paris Sud 11, Orsay, France.
Postdoc fellow at Durbin’s group Wellcome Trust Sanger Institute, Cambridge, UK, 2013-2016.
Postdoctoral researcher at Nielsen’s lab at UC Berkeley, Berkeley, USA, 2016-2019.
Awards and Accomplishments
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Lecturers" (2020)
Supervisor of the following Doctoral theses
- 1E. Khomutov Machine learning methods in population genomics
Courses (2024/2025)
- Calculus (Advanced Course) (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 1 year, 1-4 module)Rus
- Population Models in Genomics (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3 module)Eng
- Population Models in Genomics (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics, Applied Mathematics and Informatics; 1 year, 3 module)Eng
- Population Models in Genomics (Mago-Lego; 3 module)Rus
- Past Courses
Courses (2023/2024)
- Calculus (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 1 year, 1-4 module)Rus
- Population Models in Genomics (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3 module)Eng
- Population Models in Genomics (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, 3 module)Eng
- Population Models in Genomics (Mago-Lego; 3 module)Eng
- Probability Theory and Mathematical Statistics (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics; 2 year, 2-4 module)Rus
Courses (2022/2023)
- Population Models in Genomics (Master’s programme; Faculty of Computer Science field of study Applied Mathematics and Informatics; 1 year, 3 module)Eng
- Population Models in Genomics (Mago-Lego; 3 module)Eng
- Population Models in Genomics (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, 3 module)Eng
- Probability Theory and Mathematical Statistics (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics; 2 year, 2-4 module)Rus
Courses (2021/2022)
- Calculus (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics; 2 year, 1, 2 module)Rus
- Population Models in Genomics (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, 3 module)Eng
Courses (2020/2021)
- Calculus (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics; 2 year, 1, 2 module)Rus
- Calculus (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics; 1 year, 1-4 module)Rus
- Population models in genomics (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) field of study Applied Mathematics; 1 year, 3 module)Eng
Conferences
- 2019
Probabilistic Modeling in Genomics (Aussois). Presentation: ngsPSMC: genotype likelihood-based PSMC for analysis of low coverage NGS data
Moscow Conference on Computational Molecular Biology (Москва). Presentation: ngsPSMC: genotype likelihood-based PSMC for analysis of low coverage NGS data
Bay Area Population Genomics (Stanford). Presentation: On the distribution of tract lengths during adaptive introgression
MiSTI: method for correction of PSMC trajectories of admixed populations (Москва). Presentation: MiSTI: method for correction of PSMC trajectories of admixed populations
MiSTI: method for correction of PSMC trajectories of admixed populations (Santa Cruz). Presentation: MiSTI: method for correction of PSMC trajectories of admixed populations
- 2018
ProbGen “Probabilistic Modeling In Genomics” (Cold Spring, NY). Presentation: Estimation of population split times and migration rates with variable population sizes
Grants
RSCF
22-71-10056 Modelling and analyzing genetic admixture of populations (2022-2025)
20-71-00143 Developing methods for the inference of historic population structure from full-genome sequences using deep learning approaches (2020-2022)
RFBR
20-29-01028 Methods for population analysis of ancient and modern DNA with genotype likelihoods (2021-2023)
19-07-00515 Method and algorithm for the local ancestry estimation during adaptive introgression based on the Hidden Markov Models (2019-2021)
HSE Researchers Develop New Method for Analysing Genetic Admixture of Populations
Researchers of the HSE International Laboratory of Statistical and Computational Genomics together with their international colleagues have proposed a new statistical method for analysing population admixture that makes it possible to determine the time and number of migration waves more accurately. The history of Colombians and Mexicans (descendants of Native Americans, Spaniards and Africans) features two episodes of admixture that occurred about 350 and 200 years ago for Mexicans and 400 and 100 years ago for Colombians. The results were published in the Plos Genetics journal.
Statistical and Computational Genomics Projects at HSE University
Vladimir Shchur, the Head and a Senior Research Fellow at the International Laboratory of Statistical and Computational Genomics, talks about the lab, its research projects and their practical applications.
HSE University Creates the Viral Genealogy Simulator to Model the Spread of COVID-19
Researchers of HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM), in cooperation with their colleagues from the University of California, Santa Cruz (UCSC), and The European Bioinformatics Institute (EMBL-EBI), have developed software to model the spread of the COVID-19 global pandemic. This is the world’s fastest Viral Genealogy Simulator (VGsim). For more details about this scalable simulator, read the reprint on medRxiv. The code is freely available at GitHub.
Nature Communications Journal Publishes a Study by Russian Scholars Involving HSE MIEM Students
Biologists and mathematicians from HSE University, Skoltech and the RAS Kharkevich Institute have studied the spread of COVID-19 in Russia. The main part of the study was completed in late June, but until October, the team was working with data following the reviewers’ recommendations. The paper was published on January 28, 2021 in the journal Nature Communications. MIEM students spoke about their contribution to the research.
New Online School on Population Genetics and Analysis
The HSE International Laboratory of Statistical and Computational Genomics has launched an online school for applied population genetics and analysis. The school does not require special knowledge in biology and is aimed at students, graduate students, and postdocs in mathematics, physics, and computer programming.
Scientists Are Taking Their Research Seminars Online
The first research seminar of the International Laboratory of Statistical and Computational Genomics had been postponed almost a month due to COVID-19. In April, however, the event finally took place. Laboratory Head Vladimir Shchur discusses what life is like for scientists in self-isolation during the pandemic, what genomics is, and why gesturing is important when teaching online.
HSE Launches New International Laboratories
For ten years now, HSE has been holding an annual grant competition for researchers who wish to start new international laboratories at HSE in collaboration with leading foreign scholars and scientists. The most recent competition reached its conclusion this past November, and now some of the selected proposed labs have already begun operation. Who are the competition winners and what kind of research will they be doing?
4
Projects have won the competition for the creation of international laboratories at HSE University for the period from December 1, 2019 to December 31, 2022.