Vladimir Shchur
- Laboratory Head:International Laboratory of Statistical and Computational Genomics
- Associate Professor:HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) / School of Applied Mathematics
- Vladimir Shchur has been at HSE University since 2018.
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.
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers" (2020)
Courses (2020/2021)
- Calculus (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 1, 2 module)Rus
- Calculus (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Population models in genomics (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 3 module)Eng
- Past Courses
Courses (2019/2020)
- Calculus (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Computational Methods of Genomics (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1, 2 module)Eng
- Probability Theory and Mathematical Statistics (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 2-4 module)Rus
Courses (2018/2019)
- Research Seminar (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Research Seminar "Supercomputer Modeling in Science and Engineering" (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
Publications14
- Preprint Komissarov A. B., Safina K. R., Garushyants S. K., Fadeev A. V., Sergeeva M. V., Ivanova A. A., Danilenko D. M., Lioznov D., Shneider O. V., Shvyrev Nikita, Spirin V., Glyzin D., Shchur V., Bazykin G. A. Genomic epidemiology of the early stages of SARS-CoV-2 outbreak in Russia / Cold Spring Harbor Laboratory. Series 005140 "Medrxiv". 2020. doi
- Preprint Svedberg J., Shchur V., Reinman S., Nielsen R., Corbett-Detig R. Inferring Adaptive Introgression Using Hidden Markov Models / Cold Spring Harbor Laboratory. Series 005140 "Biorxiv". 2020. doi
- Article Shchur V., Svedberg J., Medina P., Corbett-Detig R., Nielsen R. On the Distribution of Tract Lengths During Adaptive Introgression // G3: Genes, Genomes, Genetics. 2020. Vol. 10. No. 10. P. 3663-3673. doi
- Article Vicuña L., Klimenkova O., Norambuena T., Martinez F. I., Fernandez M. I., Shchur V., Eyheramendy S. Post-Admixture Selection on Chileans Targets Haplotype Involved in Pigmentation, Thermogenesis and Immune Defense Against Pathogens // Genome Biology and Evolution. 2020. Vol. 12. No. 8. P. 1459-1470. doi
- Article Guskova M., Shchur V., Shchur L. Simulation of drop oscillation using the lattice Boltzmann method // Lobachevskii Journal of Mathematics. 2020. Vol. 41. No. 6. P. 992-995. doi
- Article Gouezel S., Shchur V. A corrected quantitative version of the Morse lemma // Journal of Functional Analysis. 2019. Vol. 277. No. 4. P. 1258-1268. doi
- Preprint Vladimir Shchur, Svedberg J., Medina P., Corbett-Detig R., Nielsen R. ON THE DISTRIBUTION OF TRACT LENGTHS DURING ADAPTIVE INTROGRESSION / Cold Spring Harbor Laboratory. Series New Results "BioRxiv". 2019. No. 724815. doi
- Article Skov L., Hui R., Щур В. Л., Hobolth A., Scally A., Schierup M. H., Durbin R. Detecting archaic introgression using an unadmixed outgroup // PLoS Genetics. 2018. Т. 14. № e1007641. С. 1-15. doi
- Preprint Shchur V., Ziganurova L., Durbin R. FAST AND SCALABLE GENOME-WIDE INFERENCE OF LOCAL TREE TOPOLOGIES FROM LARGE NUMBER OF HAPLOTYPES BASED ON TREE CONSISTENT PBWT DATA STRUCTURE / Cold Spring Harbor Laboratory. Series New Results "BioRxiv". 2018. doi
- Article Shchur V., Nielsen R. On the number of siblings and p-th cousins in a large population sample // Journal of Mathematical Biology. 2018. Vol. 77. No. 5. P. 1279-1298. doi
- Article Shchur V. On the quantitative quasi-isometry problem: Transport of Poincaré inequalities and different types of quasi-isometric distortion growth // Journal of Functional Analysis. 2015. Vol. 269. No. 10. P. 3147-3194. doi
- Article Shchur V. A quantitative version of the Morse lemma and quasi-isometries fixing the ideal boundary // Journal of Functional Analysis. 2013. Vol. 264. No. 3. P. 815-836. doi
- Article Shchur V. Some properties of Frobenius numbers and a fraction of symmetric semigroups in the weak limit for n=3 // Functional Analysis and Other Mathematics. 2010. Vol. 3. No. 1. P. 97-101. doi
- Article Shchur V., Sinai Y., Ustinov A. Limiting distribution of Frobenius numbers for n=3 // Journal of Number Theory. 2009. Vol. 129. No. 11. P. 2778-2789. doi
Conferences
- 2019Probabilistic 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
- 2018ProbGen “Probabilistic Modeling In Genomics” (Cold Spring, NY). Presentation: Estimation of population split times and migration rates with variable population sizes
Grants
RFBR grant 19-07-005115 Method and algorithm for the local ancestry estimation during adaptive introgression based on the Hidden Markov Models
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?
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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.
