Trento, Trentino-Alto Adige, Italy
Luca Marchetti graduated in Computer Science and earned his Ph.D. in Computer Science at the University of Verona in 2012. He served as Head of Computational Biology at Fondazione The Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), and actually, he is an Associate Professor at the CIBIO Department of the University of Trento and PI of the Laboratory of Computational Modeling. He is also a Ph.D. Committee Member of the Doctoral Program in Biomolecular Sciences, Department CIBIO, University of Trento and Associate Editor of the journals Heliyon, section Bioinformatics and Computational Biology, Frontiers in Molecular Biosciences, section Molecular Diagnostics and Therapeutics, and Frontiers in Applied Mathematics and Statistics, section Optimization. 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, Hybrid AI-ODE models) 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 more than 50 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 an advisor of several stage/bachelor/master thesis and PhD students.
Associate professor at Department CIBIO, University of Trento. Head of the Laboratory of Computational Modeling.
Tenure-track assistant professor @ Department CIBIO, University of Trento
International Journal Heliyon, section Bioinformatics and Computational Biology.
Associate editor, Journal Optimization, Frontiers in Applied Mathematics and Statistics
The position develops corporate solutions in the field of computational biology by devising pipelines to address the customers’ needs in a better and more effective way than the available solutions in the open domain and than the competitors solutions. The position is also in charge of expanding the business of the company by securing new customers and closing fee for service contracts with them. Main skills: excellent written and verbal communication, exceptional synthesis ability, ability to motivate people, flexibility and adaptability, exceptional time management and prioritization of obligations and internal tasks, attention to detail, ability to motivate people, ability to work under pressure and meet deadlines. Main responsibilities: planning team goals and ensuring that they are met on time, budget, scope and quality; training team members and helping them to develop their skills in agreement with the corporate vision, mission and goals.
Departments of Computer Science and Biotecnology