Anna’s research interests and expertise are in computer science and life science. Her research activity is focused on designing computational methods, such as ML and AI methods for the analysis of various types of biological data, e.g. omics-data, as well as clinical data and medical images, to solve challenging problems in healthcare and life science as well as other application areas.
She received her PhD in Computer Science from University of Milan-Bicocca. Her PhD thesis focused on the development of computational models and combinatorial algorithms for phylogenetic reconstruction and fixed parameter algorithms for scaffold filling of incomplete genomes maximizing their similarity. Another main contribution of her PhD thesis has been the introduction of a framework for modelling complex evolutionary scenarios of genomic populations. She developed a backward simulation algorithm, named SimRA (Simulation based on Random-graphs Algorithms) while working at the IBM T.J. Watson Research Center as a visiting PhD student for over a year in total. Prior to that, she received her B. E. Computer Science and M.Sc Computer Science degrees respectively from University of Bari and University of Milan-Bicocca, Italy.