Marco Beccuti

Position: Associate professor
Address: Ufficio 34
Dipartimento di Informatica - Università degli Studi di Torino
Via Pessinetto 12, 10149 Torino, Italy icona mappa
Email: beccuti[at]di.unito.it
Telefono: +39 011 6706780   Fax: +39 011 751603
Skype: marco.beccuti

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icona biografiaShort Bio

Marco Beccuti received his Master's degree in Computer Science from the Università of Piemonte Orientale A. Avogadro, Italy.
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" (icona file pdf 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 110 papers published in highly recognized international scientific journals and in the proceedings of the most important international conferences in the field. His H-index in Scopus is 18 with 2510 citations, while his H-index in Google scholar is 24 with 3569 citations.


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