I have a Bachelor’s, Master’s, and Ph.D. degree in Computer Science, all received from the University of Milano-Bicocca (Milano, Italy).
My PhD thesis was titled “Evolutionary Inference of Biological Systems Accelerated on Graphics Processing Units“. My advisor was Professor Giancarlo Mauri.
I am currently senior Post Doc researcher at the Department of Informatics, Systems and Communication of the University of Milano-Bicocca (Milan, Italy). On Dec 2018 I have been elected post doc representative in the Department’s Council, for the years 2019 and 2020.
I am also part of the SYSBIO.IT Centre for Systems Biology (Milan, Italy).
I am member of the BIMIB laboratory of Bionformatics, Natural Calculus and Systems Biology.
I am member of the IEEE, young professionals group. I am member of the IEEE Computational Intelligence Society. I also belong to the IEEE Bioinformatics and Bioengineering Technical Committee.
I am member of the ICT COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications”. I belong to the Working Group 3 “HPC-enabled Modelling for Life Sciences”. I am also leader of the Case Study “Towards Human Cell Simulation”.
My main research interest is Computational Intelligence in many forms: Evolutionary Computation (EC), Swarm Intelligence (SI), Fuzzy Logic (FL), Machine Learning (ML).
I extensively exploit creative combinations of such techniques to create automatic tools able to tackle complex problems in Systems Biology, Synthetic Biology, Computational Biology, Bioinformatics, and Biomedical Imaging.
EC, SI, and ML methods provide powerful means to tackle hard computational problems; however, these approaches are computationally demanding activities. For this reason, I also work on the optimization and acceleration of algorithms. In particular, I largely rely on high-performance infrastructures, in particular clusters of GPUs, to leverage the relevant computational power offered by new generation accelerators.
You can find a summary of my published projects in the front page.