2026 CRM-SSC Prize lecture – Stanislav Volgushev
Friday, October 30, 2026 at 3:30pm
Hybrid – Université de Montréal, CRM
Pavillon André-Aisenstadt, 6th floor, room 6214
2026 CRM-SSC Prize awarded to Stanislav Volgushev (University of Toronto) for original and deep contributions to methods and theory for statistical inference with complex data structures, including quantile regression, multivariate dependence and copula processes, resampling methods, and the theory of extreme values.
Professor Volgushev was born in Moscow in 1983 and moved with his parents to Germany at the age of 6. He studied Mathematics at the Ruhr University Bochum and received his diplom (equivalent of MSc) in 2007 and his PhD in 2010, both under the supervision of Holger Dette. He joined Cornell University as Assistant Professor in 2015 and moved to Toronto in 2016. […]
In his PhD, he worked on quantile regression, and he has continued this line of research throughout his career. Among other contributions on this theme, in his widely cited 2019 AoS paper (joint with Guang Cheng and Shi-Kang Chao), Volgushev proposed the first approach to quantile regression for very large data sets utilizing the divide-and-conquer approach and not only established guarantees for the success of divide and conquer procedures but also exhibited scenarios where divide and conquer procedures provably fail.
About the CRM-SSC Prize
The CRM-SSC Prize in Statistics recognizes a statistical scientist’s excellence and accomplishments in research during the first fifteen years after earning his/her doctorate (or equivalent degree). It is awarded annually by the Centre de recherches mathématiques and the SSC.
Source: Statistical Society of Canada
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