About

A mathematician by training, I am now a researcher interested in the mathematics of, and for, machine learning and, more broadly, in mathematically rich problems of sciences and engineering.

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.

Research interests

Machine Learning. Geometric Learning, Uncertainty Quantification, Gaussian Processes.

Mathematics. Harmonic Analysis, Functional Analysis, Probability, Statistics.

Other. Bioinformatics, Optimization, Geostatistics.

Personal

Happily married to Ekaterina Noskova.