Andrea Guidolin

My interests are in the field of applied algebraic topology, specifically topological data analysis and persistent homology. The main focus of my work is the study of topological invariants which are stable and computable, hence suitable for data analysis and machine learning applications.

My research is supported by WASP, the Wallenberg AI, Autonomous Systems and Software Program.