My primary interests lie in geometric topology, with a specialization in hyperbolic spaces in the sense of Gromov. Within this area, I have a particular inclination toward graphs in general and trees in particular.
Nevertheless, my interest in graphs extends beyond geometric topology, and part of my research lies in discrete mathematics. In particular, we have developed several works on topological indices, within the scope of chemical graph theory.
Additionally, we have done some work in Machine Learning, designing and studying clustering and hierarchical clustering algorithms.
The one constant across all of these projects is the presence of graphs, which consistently emerge as a common thread connecting these seemingly unrelated areas.
