Luca Marchetti graduated in Computer Science and earned his Ph.D. in Computer Science at the University of Verona in 2012. Actually, he is Associate Professor at the CIBIO department of the University of Trento, Head of Computational Biology at The Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI) and Associate Editor of the journal Optimization, Frontiers in Applied Mathematics and Statistics.His research interests are mainly focused on computational systems biology and, more specifically, on algorithmic biological modeling (using deterministic, stochastic or hybrid simulation approaches) and on the development of algorithms for biomarker identification.Among his latest findings, he published several papers in the field of mathematical modeling of biological dynamics (ODE models, stochastic reaction networks, hierarchical modeling, QSP modeling) by considering both common diseases, such as type 1 and type 2 diabetes, and rare diseases (e.g., lysosomal storage disorders). Moreover, he introduced LGSS (Log-gain Stoichiometric Stepwise Regression) a regression algorithm to derive discrete mathematical models of biological dynamics, HRSSA (Hybrid Rejection-Based Stochastic Simulation Algorithm), a hybrid stochastic/deterministic simulation algorithm for biochemical reaction systems, and BI-SCUDO (Biomarker Identification - Sample Classification SCUDO), a normalization-free rank-based tool for biomarker identification and classification of expression profiles.He actually supervises several research projects in collaboration with universities and pharma companies in the context of Hierarchical and QSP modeling and he is co-author of one book and of scientific papers in international journals, books and conference proceedings. Some of his publications won international prizes for their level of contribution. He is/has been co-advisor of several stage/bachelor/master thesis and of 6 PhD students.