Assistant Professor at University of Trento; Supervisor of the Computational Biology Group at The Microsoft Research – University of Trento COSBI
Luca Marchetti graduated in Computer Science and earned his Ph.D. in Computer Science at the University of Verona in 2012. He is currently Assistant Professor and Head of the Computational Modeling Laboratory at the CIBIO Department of the University of Trento and consultant at the Fondazione The Microsoft Research – University of Trento Centre for Computational and Systems Biology (COSBI), where he serves as supervisor of the activities of the Computational Biology group.
His research interests are mainly focused on computational systems biology by using and developing techniques for the mathematical description of biological phenomena, with a special focus on physiological alterations leading to human diseases. In particular, he has experience in the field of algorithmic biological modeling (using deterministic, stochastic or hybrid simulation approaches) and on the development of algorithms for biomarker identification.
He has several years of experience as group leader by supervising research projects in collaboration with universities and pharma companies in the context of Hierarchical and Quantitative Systems Pharmacology (QSP) modeling. He is co-author of a textbook on mathematical modeling and of more than 50 scientific papers in international journals, books and conference proceedings.
Assistant Professor at University of Trento; Supervisor of the Computational Biology Group at The Microsoft Research – University of Trento COSBI
Luca Marchetti graduated in Computer Science and earned his Ph.D. in Computer Science at the University of Verona in 2012. He is currently Assistant Professor and Head of the Computational Modeling Laboratory at the CIBIO Department of the University of Trento and consultant at the Fondazione The Microsoft Research – University of Trento Centre for Computational and Systems Biology (COSBI), where he serves as supervisor of the activities of the Computational Biology group.
His research interests are mainly focused on computational systems biology by using and developing techniques for the mathematical description of biological phenomena, with a special focus on physiological alterations leading to human diseases. In particular, he has experience in the field of algorithmic biological modeling (using deterministic, stochastic or hybrid simulation approaches) and on the development of algorithms for biomarker identification.
He has several years of experience as group leader by supervising research projects in collaboration with universities and pharma companies in the context of Hierarchical and Quantitative Systems Pharmacology (QSP) modeling. He is co-author of a textbook on mathematical modeling and of more than 50 scientific papers in international journals, books and conference proceedings.
