Standardized multi-omics of Earth’s microbiomes reveals microbial and metabolite diversity
- Nature Microbiology
Anna Paola Carrieri is a a Senior Research Scientist and a Manager at IBM Research Europe - Daresbury (UK).
Her research interests and expertise are in computational methods for Healthcare and Life Sciences. She is currently working on applying interpretable/explainable machine learning/AI for the analysis of different omics, (with particular focus on microbiome data), clinical data and medical images.
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 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 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.