Diego Carraro


Recommender Systems

Diego Carraro is a Post-Doc with the Optimisation & Decision Analytics group, where his research involves AI and Machine Learning. After graduating in Computer Engineering and with a background experience as a software engineer in a tech company, Diego landed in the Insight Centre to pursue his PhD in 2016. He worked in the area of Recommender Systems as a PhD student, where he applied Active Learning and developed solutions to mitigate the bias in such systems. As a Post-Doc, he collaborates with academic and industrial partners, researching different areas besides Recommender Systems. For example, he studies the benefit of causal reasoning in Natural Language Processing applications; he designs tutoring systems to help beginner students learn to program; and builds predictive models to help optimise industrial processes.