Overview
I am interested in developing novel techniques to uncover network structures in large-scale data, with a focus on learning from extreme events. My work leverages advances in graphical modeling, extreme value theory, and approximate linear algebra, exploring alternative sparsity-inducing methods beyond the graphical lasso for efficient estimation.
Research
Thesis
Statistical learning of networks from extreme events
Funding sources
Funding is provided by EPSRC DTP.
