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 Assistant Professor in Artificial Intelligence and Data Analytics at the Department of Industrial Engineering and Innovation Sciences of the Eindhoven University of Technology (TU/e, Eindhoven, The Netherlands).
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.
Between 2016 and 2019 I have been member of the ICT COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications”. I belonged to the Working Group 3 “HPC-enabled Modelling for Life Sciences” and I have been 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 Healthcare, 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.