Her main activities relate to the coordination and development of technological tasks in Horizon projects. She is currently working on the development of a web and social media analytics tool which aims to facilitate evidence-based decision support making during a pandemic crisis (STAMINA, H2020), Further, Ilaria is involved in working with our technical team to develop an open-source library to improve understanding of the structure of forensic artefacts (INSPECTr, H2020). Lastly, Ilaria is collaborating with researchers and data scientists in building data-driven risk assessment models to describe the impact of COVID19, particularly concerning vulnerable groups (COVINFORM, H2020).
She is particularly interested in creating machine learning and statistical models of complex real-life phenomena that account for social and ethical perspectives aimed at enhancing societal wellbeing while controlling for the potential harm implied by inappropriate use of technology.
Ilaria holds an MSc. in Mathematical Engineering and a BSc. in Applied Mathematics from the Polytechnic University of Turin. She was a postgraduate researcher at the Max Planck Institute of Psychiatry in Munich within the Marie Curie ITN “Machine Learning for Personalised Medicine” framework during which she investigated machine learning and statistical models of genotype-disease interactions. Before joining Trilateral Research, Ilaria worked as Data Scientist in Eurecat – Technological Centre of Catalonia (Barcelona) where she was involved in the design and development of data-driven solutions for the digital
health public and private sector.