About

A mathematician by training, I am now interested in the mathematically rich areas of machine learning, conducting research that aims to benefit both theoreticians and practitioners.

My key research areas are geometric learning and uncertainty quantification. My work in these areas has won best-paper-type awards at top machine learning conferences twice.

Having received the ETH Zürich Postdoctoral Fellowship, I am currently a postdoc at the Learning & Adaptive Systems Group of ETH Zürich led by Prof. Dr. A. Krause. In early spring 2025, I am to join the University of Edinburgh as a tenured lecturer (asst. prof.) in machine learning.

I received my PhD in harmonic analysis from the St. Petersburg Department of Steklov Mathematical Institute of Russian Academy of Sciences (PDMI RAS) in 2022, advised by Prof. S. V. Kislyakov. I was also co-mentored by Prof. M. A. Lifshits in Gaussian processes.

On a personal note, I am happily married to Ekaterina Noskova, a researcher in bioinformatics.

PhD and Postdoc Openings

If you are

• passionate about geometric learning or uncertainty quantification,
• seeking a PhD or postdoctoral position at one of the top CS departments globally [1, 2],

please visit the vacancies page to explore opportunities within my research group.