PhD Student in Biomedical Engineering with a focus on pattern recognition algorithms for prosthetic control. Expertise in the design and development of advanced Pattern Recognition algorithms, which allow having a more intuitive, fluid, and natural control of a prosthetic system with multiple de-grees of freedom (GdL) based on sEMG myoelectric signal. During my PhD career, I have designed and implemented a classification system of postures and forces based on the NonLinear Logistic Regression (NLR) algorithm. In addition, I have designed and implemented a classification system for the simultaneous management of multiple degrees of freedom related to different prosthetic modules: this pattern recognition system would allow patients with trans-amputation amputation and shoulder disarticulation, subjected to targeted muscular reinnervation (Targeted Muscle Reinnervation), the control of a multi DoFs prosthesis. Skills: Engineering, Machine Learning, Pattern Recognition algorithms for prosthetics control, multi-DoF PR algorithms; Project management course attended at the University of Campus Biomedico;