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Boris Levit is a Professor in the Department of Mathematics and Statistics at Queen's University. He received his Ph.D. from the Institute of Information Transmission in Moscow and holds a Doctor of Science from Vilnius University. His research spans decades, focusing on optimal estimation problems in statistics, primarily solved within an asymptotic framework where the number of statistical observations available is large. Levit's modern approach includes studying these issues in non-asymptotic settings, which are applicable when the number of observations is moderate or small. He has made significant contributions to non-parametric regression problems through the use of Jacobi elliptic functions, a method rooted in classical analysis, number theory, and communication theory. Currently, he is involved in research that addresses open questions in these areas and is actively recruiting graduate students to join his projects.
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