Engineer by education, researcher by vocation. I am always ready to challenge myself with projects that can have an impact on people’s lives. My research interests mostly extend across three areas: machine learning, specifically deep learning; computer vision, especially applied to medical imaging; signal processing, with a particular focus on acoustic signals. Currently, I am using my skills and expertise within the field of medical image analysis at Novo Nordisk aiming at helping people with chronic diseases, such as diabetes, obesity and haemophilia.

I have a PhD in electrical and electronic engineering, obtained at Aalborg University, where I worked within the Centre for Acoustic Signal Processing Research (CASPR). During my PhD, I successfully collaborated with academic and industrial partners, specifically with Universitat Pompeu Fabra (Spain), University of Modena and Reggio Emilia (Italy), Oticon (Denmark) and Tencent AI Lab (USA). My dissertation focused on deep-learning-based audio-visual speech enhancement and it was the basis of my postdoctoral research, which I carried on at Oticon and Aalborg University, with the purpose of investigating cutting-edge technologies for multimodal hearing assistive devices.

Before starting my PhD project, I got a Bachelor’s in Computer Science and Electronic Engineering at the University of Perugia (Italy), and a Master’s in Vision, Graphics and Interactive Systems at Aalborg University, where I worked on several projects, including one on biometrics in collaboration with with Fingerprint Cards. I have also worked as an intern at Bang & Olufsen.

_{Email - Linkedin - Google Scholar - CV}