Anna Paola Carrieri is a Research Staff Member at IBM Research UK working in the machine learning team.
Currently, she is working on applying machine learning for the analysis of microbiome data, produced by Next Generation Sequencing (NGS) technologies, with health care application. She is also working on computer vision projects for image classification and object detection.
She received her PhD in Computer Science from University of Milan-Bicocca under the supervision of Paola Bonizzoni and Laxmi Parida. Her PhD thesis focused on the development of computational models and combinatorial algorithms for phylogenetic reconstruction and fixed parameter algorithms for scaffold filling of uncomplete genomes maximising 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. She also investigared the development and
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.