Research Software Engineer

Francesco Rossi

Fransesco completed hisPhD in Space Science and Technology at the University of Trento, Italy, where his thesis focused on the search for heavy antimatter in cosmic rays as a member of the AMS-02 collaboration at CERN, Switzerland. During his PhD, he developed a novel data-driven approach combining supervised and unsupervised machine learning algorithms to search for antihelium in cosmic rays.

He also worked on Monte Carlo simulations of space-based particle detectors, modelling stochastic processes and evaluating their expected performance and sensitivity to rare events.