About

I am a Ph.D. candidate in the Statistics, Probability and Machine Learning Group at Universitat Pompeu Fabra, advised by David Rossell and Gábor Lugosi.

My research interests lie in statistical learning and machine learning theory, especially high-dimensional inference and computation. I currently work on problems related to variable selection, sparse estimation, overparameterized models, and optimization in statistical learning. I am broadly interested in questions at the interface of methodology, theory, and computation.

See my CV for more information.

You can reach me via maxim.fedotov@upf.edu.