Pieter Libin holds a master in informatics (2014) and a PhD in computer science (2020) from the Vrije Universiteit Brussel. In his PhD research, he investigated the use of reinforcement learning to mitigate epidemics. His main research interest lies within the use of machine learning techniques in combination with epidemiological models to study prevention strategies. He has worked on different pathogens, including HIV, the hepatitis C virus, influenza, Dengue virus and Zika virus. Pieter’s main affiliation is with the Data science institute of the Universiteit Hasselt, where he currently working on the EpiPose project, to model the COVID-19 pandemic with the objective to evaluate prevention strategies.