Dr Fabio Anselmi, TENURE-track RESEARCHER

Fabio received a PhD in Quantum Computation and Information in the Uk (2004). He then moved to Padova at the Venetian Instutute of Molecular Medicine and after to Milan at the Humanitas Research Hopital where he worked on Biophysics (2005-2010).  He the moved to USA and joined  the Mc Govern Institute for Brain Research at  MIT where he studied computational models of the visual cortex and machine learning under the supervision of Tomaso Poggio (2011-2015) and subsequently in Genova at the Machine Learning Genova Center and the Italian Institute of Technology (2016-2020). He has then been assistant professor at the Baylor College of Medicine (2020-2022) for two years and from 2022 he is in Triste where he continues working in theoretical machinel learning,  expecially geometric deep learning, with applications to quantum physics, computational neuroscience and medicine. 

He is now leading the Machine learning and Computational Science Lab at MIGe.

Prof GIULIO CARAVAGNA, associate professor 

Giulio is an associate professor of computer science at the University of Trieste, where he leads the Cancer Data Science laboratory. He holds a PhD in Computer Science from the University of Pisa (2011), and postdoctoral training in Bioinformatics from the University of Milan-Bicocca (2011-15, with Giancarlo Mauri), in Machine Learning from the Univerisity of Edinburgh (2015-17, with Guido Sanguinetti) and in Tumour Evolution from the Institute of Cancer Research (2017-20, with Andrea Sottoriva). 

He joined Trieste in 2020 to start his laboratory, where he develops Machine Learning tools for cancer in collaboration with many interdisciplinary scientists. In his research, he collaborates daily with world-class biology research institutes, clinical institutes, healthcare companies as well as with many computational collaborators from the broad areas of mathematics, physics and computer science.

His research is funded by several grants, including prestigious funding from the Italian Association for Cancer Research (AIRC), as well as from the Ministry of University and Research.

Prof Luca Manzoni, associate professor  

Luca is an associate professor of Computer Science at the University of Trieste, where he is currently leading the Natural Computing Laboratory (NaCL). He obtained his PhD in Computer Science from the University of Milano-Bicocca in 2013 under the supervision of Prof. Leonardo Vanneschi. In 2012, he was a JSPS postdoctoral fellow (short term) at the Osaka Electro-Communication University (Japan). He then was a postdoctoral fellow, first at the Université Nice Sophia-Antipolis (2013-2014) and then at the University of Milano-Bicocca (2014-2018) before becoming an assistant professor there (2018-2019). He arrived in Trieste in 2019 as an assistant professor (tenure-track) and became an associate professor in 2022.

His research interests are in the areas of Evolutionary Computation, applications of Artificial Intelligence, and the theoretical aspects of Natural Computing. 

Prof ADRIANO PERON, full professOR

Adriano Peron received the Laurea degree in Computer Science from the University of Udine, on Decembe and the PhD degree in Computer Science from the University of Pisa. From 2005 to 2022, he had a full professor position in Computer Science in the University of Napoli "Federico II" being the director of the BS/MS Computer Science Program the University of Napoli "Federico II" till 2022. He is actually full professor in the University of Trieste and director of the bachelor program of Artificial Intelligence and Data Analytics.

His research activity mainly focus on the development and application of techniques for the specification and verification of inherent properties of concurrent and distributed systems. In particular, topics of interest are: design of specification languages for real time concurrent systems, formal semantics of specification languages, model and module checking techniques, Temporal logics, Interval temporal logics, Monadic second order logics, Recursive systems, regression testing, formal methods for Software Engineering.

Dr Alex RodrigueZ, TENURE-track RESEARCHER

Alex arrived at the University of Trieste in 2022. Previously he was the “Ludwig Boltzmann” Senior Postdoctoral Fellow at the Condensed Matter and Statistical Physics section at the International Center for Theoretical Physics (ICTP), a postdoctoral fellow at the International School for Advanced Studies (SISSA), and a professional researcher at the Università Politècnica de Catalunya (UPC). Alex obtained his Ph.D. at the University of Barcelona in 2012.

Alex leads the Laboratory for Unsupervised Learning and Knowledge Extraction at the MIGe department. Alex’s interests are at the interface between physics and data science: he wants to understand how the properties of data generated by physical simulations are related to the actual physical properties of the systems under study. To this end, Alex develops new Machine Learning methods (mostly unsupervised) that have been useful in many fields beyond physical sciences: clustering algorithms, density estimation, and manifold learning algorithms.