De Fabritiis, GianniResearch Professor at
Universitat Pompeu Fabra (UPF )
Experimental Sciences & Mathematics
My group research interests are centered in the application of computing as a fundamental methodology to problem solving. In particular simulations in biomedicine, machine learning of biological data and machine intelligence.
Biomedicine. We use large distributed computational resources (GPUGRID.net) with thousands of GPUs for molecular dynamics simulations, binding prediction, binding kinetics, Markov state models, online sampling methods (ACEMD, HTMD). The approach is computational driven but we like to collaborate with experimental laboratories and pharmaceutical companies.
Machine Intelligence. In this research line we develop machine learning approaches applied to biological data. We are particularly interested in behavioral intelligence, artificial neural networks, sparse coding, deep and hierarchical learning.