My research focuses on the foundations and applications of graph methods in machine learning and data science. I aim to find elegant explanations for phenomena associated with learning and to exploit them in order to design specialized learning machines.
I am also interested in graph problems in signal processing and theoretical computer science, as well as in the analysis of neural networks.
Selected recent papers
List of publications