I am a Postdoctoral researcher at University of Geneva, and got my PhD at ETH Zurich, in the Institute for Particle Physics and Astrophysics. I would define myself as a flexible and creative scientist, constantly looking for new ideas, asking "What if...?" and searching for answers using imagination, technical knowledge and analytical skills. I like sharing and exchanging ideas and teamwork. I have experience in a variety of subjects, from analyzing the radiation- damage to the CERN-CMS calorimeter to making astronomical observations with the Blanco Telescope in the Atacama Desert. I have been training on mathematical modeling, statistical data analysis and software development in the fields of Particle Physics, Astronomy and Cosmology, using Big Data from the Dark Energy Survey Collaboration and from the CMS experiment at CERN. With my work I contributed to the study of, NGC 4993, the host galaxy of the GW170817 gravitational wave event. I am interested in pattern recognition and applications in Machine Learning. This is the focus of my most recent project, where I developed a novel method of processing astronomical images for automated classification, and validated it in collaboration with the Swiss startup Modulos AI. I am also active in the field of educational technology addressed to both students and the public, designing and promoting multidisciplinary projects for science learning, and combining fundamental science, computer science, computer vision and Artificial Intelligence.