Marco Beccuti received his Master's degree in Computer Science from the Università of Piemonte Orientale A.
In 2008, he obtained his Ph.D. degree in Computer Science from Università degli Studi di Torino and Universitè of Paris Dauphine. His Ph.D. thesis was entitled "Modeling and analysis of probabilistic
systems. Formalisms and efficient algorithms" ( in English).
He is currently associate professor at Dipartimento di Informatica of the Università degli Studi di Torino, scientific coordinator of InfoLife National Laboratory of CINI, technical coordinator of ELIXIR Node of the Università degli Studi di Torino, scientific coordinator of the laboratory "HPC for biomed and AI" in ICxT, Chair of the Scientific Committee of the "HPC4AI" laboratory" at the Università degli Studi di Torino, and
scientific co-coordinator of "Quantitative Biology" (q-Bio) group.
He is also member of the "Performance Evaluation and System Validation" group (QMIPS), of "Bioinformatics ITalian Society" (BITS), and of the "Consorzio Nazionale Interuniversitario per le Telecomunicazioni" (CNIT).
His research is currently mainly focused on computational modeling and simulation of complex systems.
In particular, he is interested in:
- Stochastic and hybrid modeling languages;
- Exact and approximated techniques to analyze the behavior of complex systems;
- Applications to computational Systems Biology.
Moreover, he works on the design of bioinformatics algorithms and workflows to analyze deep sequencing data (i.e. genomic, transcriptomic, and single-cell data), emphasizing reproducibility aspects.
He is co-author of 96 papers published in highly recognized international scientific journals and in the proceedings of the most important
international conferences of the field. His H-index in Scopus is 17 with 2237 citations,
while his H-index in Google scholar is 21 with 2796 citations.
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