Giuseppe Bernava is a computer engineer with a PhD in computer science from the University of Milan. From 2009 to 2012, he collaborated with the University of Messina as a contract professor and dedicated himself to the study of predictive models to analyse the HIV epidemic in Africa and to determine the impact of tri-therapy in the short and long term. From 2013 to 2015, he worked as a research fellow at National Research Council (CNR), focusing on the study of intelligent information systems applied to medicine in order to develop new approaches and innovative tools for understanding biological phenomena. Since 2016, he has been a Technologist at CNR, currently at the Institute for Chemical-Physical Processes (IPCF) where his main research interests are in the areas of machine learning applied to clinical practice modelling. He has participated in numerous innovative scientific projects in the field of bioengineering applied to neuroscience and neural disorders in the evolutionary age. In recent years, in addition to continuing his research in the development of Deep Learning models applied to the clinic setting, he has been involved in the design and development of cross-platform systems for the implementation of intelligent interfaces, collaborating fruitfully with different research groups belonging to different sectors as evidenced by the publications in which he co-authored.