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Viacheslav Borovitskiy is a tenured Assistant Professor in Mathematics with a focus on Harmonic Analysis, currently working at the University of Edinburgh. His research interests are rooted in mathematically rich areas of Machine Learning, specifically geometric learning and uncertainty quantification. With a strong foundation in mathematical theory and practical applications, he conducts research aimed at benefiting both theoreticians and practitioners in the field. Borovitskiy has received accolades for his work, winning best-paper-type honors at top Machine Learning conferences on two occasions. He completed his PhD in Harmonic Analysis at the Steklov Mathematical Institute in St. Petersburg in 2022, under the supervision of Professor S. V. Kislyakov, and co-mentored by Professor M. Lifshits in Gaussian processes. He is also engaged in teaching Machine Learning at the Institute of Adaptive Neural Computation.
University of Edinburgh • Edinburgh, United Kingdom
Tenured Assistant Professor focusing on teaching and researching Machine Learning.
Department of Marketing