- Senior Researcher Predictive Models for Biomedicine and Environment (MPBA)
- computational biology
- machine learning
- artificial intelligence
- high-performance computing
Marco Chierici got his PhD in Bioengineering in 2007 at the University of Padova and has since been a data scientist at FBK/MPBA. Marco is responsible for the Bioinformatics and Computational Biology area at the MPBA lab. He is an expert on bioinformatics tools for massive omics data, high-performance computing, and scientific programming in Python and R. His main research interests include the integration of artificial intelligence methods (e.g., deep learning) in bioinformatics & computational biology frameworks. A member of the MAQC/SEQC and FANTOM consortiums, he has developed methods for reproducibility of analyses and was one main contributor of the FDA MAQC2 GWAS study. Marco co-authored >40 papers on peer-reviewed journals and is involved as a tutor in training activity on bioinformatics and machine learning for life sciences.