Ilaria Bonavita

Ilaria is responsible for coordinating and developing technical solutions in research projects, mainly in the Horizon research environment (Project STAMINA, COVINFORM, TECHETHOS). Her work involves identifying innovative data science solutions in the Sociotech for Good domain that can advance the insights we provide through our products.

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. 

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