Summary
Marco Beccuti is an Associate Professor in Turin with nine years of formal academic experience and a long research trajectory in computational modeling and simulation of complex systems. He specializes in stochastic and hybrid modeling languages, exact and approximate analysis techniques, and applications to computational systems biology, bridging formal methods with biological data interpretation. Marco also designs bioinformatics algorithms and reproducible workflows for deep sequencing (genomic, transcriptomic, single-cell) analysis, emphasizing reproducibility and practical pipeline engineering. His background includes post-doctoral research on interdependent infrastructure dependability and earlier industry experience as an IT expert, which adds a pragmatic systems perspective to his theoretical work. Colleagues value his ability to translate advanced modeling techniques into tools and workflows that support real-world biological investigations.
9 years of coding experience
8 years of employment as a software developer
Ph.D, Computer science, Ph.D, Computer science at Università degli Studi di Torino
English