Marco Beccuti

Position: Assistant professor
Address: Ufficio 31
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

foto profilo docente

icona biografiaShort Bio

Marco Beccuti received his Master degree in Computer Science from the Università of Piemonte Orientale A. Avogadro, Italy, in 2004 with Master thesis entitled "Exploiting partial symmetries in Stochastic Well Formed Nets" (icona 
file pdf in Italian).
In 2008, he obtained his Ph.D. degree in Computer Science from Università degli Studi di Torino under the joint supervision of the 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).

From January 2008 to December 2008, he was a research assistant at "Consorzio Nazionale Interuniversitario per le Telecomunicazioni" (CNIT). From March 2009 to October 2012 he was a research assistant at the Dipartimento di Informatica of the Università degli Studi di Torino.

Currently he is assistant professor with tenure track at Dipartimento di Informatica of the Università degli Studi di Torino. He is also member of "Quantitative Biology" (q-Bio) group, of the "Performance Evaluation and System Validation" group (QMIPS), of "Bioinformatics ITalian Society" (BITS), and of the "Consorzio Nazionale Interuniversitario per le Telecomunicazioni" (CNIT) .

In April 2017, he obtained the National scientific qualification to function as Associate Professor in Italian Universities (Area: Computer science 01/B1 and Computer Engineering 09/H1).

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 analysis the behavior of complex systems;
  • Applications to computational Systems Biology.

Moreover he works on design of bioinformatics algorithms and workflows for the analysis of deep sequencing data (i.e. genomic, transcriptomic and single cell data) with particular emphasis on reproducibility aspect.

He is co-author of more than 85 papers published on highly recognized international scientific journals and in the proceedings of the most important international conferences of the field. His H-index in Scopus is 12 with more than 1350 citations, while his H-index in Google scholar is 15 with more than 1850 citations.


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