AutoXAI4Omics: an automated explainable AI tool for omics and tabular data
- James Strudwick
- Laura-Jayne Gardiner
- et al.
- 2024
- Briefings in Bioinformatics
Dr Anna Paola Carrieri is a Technical Research Manager at IBM Research – UK where she leads the Healthcare and Life Sciences research team. Her team is currently working on developing and applying advanced AI technologies, including Foundation Models, for the integrative analysis of multi-modal healthcare data such as multi-omics data to advance precision medicine, drug discovery and public health. Her research interests and expertise regard the development and application of advanced AI technologies for healthcare and life sciences applications.
Dr Carrieri has a publication record of over 30 peer-reviewed articles in computer science, AI, bioinformatics, Omics and microbiome. Dr. Carrieri is a member of Proceedings Program Committee (PC) of the ISMB/ECCB 2025. Recently, Dr Carrieri has recently been an invited speaker and panellist to several high-profile conferences (Festival of Genomics 2025, ELRIG – drug discovery 2024, FemTech -decoding the future of women 2024).
Dr Carrieri joined IBM Research UK in early 2016 as a Research Scientist and she was promoted to Senior Research Scientist in 2020. In 2021 was appointed as Technical Research Manager and was recognised as one of the 15 Raising Women in AI in IBM.
In 2015 Anna 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. 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 Research - Yorktown Heights as a visiting PhD student.
Prior to that, she received her M.Sc in Computer Science in 2011 (with a score of 110/110 summa cum laude) at University of Milano-Bicocca and a B.E. in Computer Science (with a score of 110/110 summa cum laude) at University of Bari in 2009.
An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.
An automated explainable bioinformatics and AI workflow for multi-omic, clinical and experimental data, applied to healthcare and drug discovery problems.