Guilherme Augusto Zagatti’s is a PhD student of Data Science at the Institute of Data Science (IDS) and Integrative Sciences and Engineering Programme (ISEP) in the National University of Singapore (NUS). His main research interest is point processes. He has developed data warehouses for handling such data, modeled phenomena from disease transmission to social interactions as such and developed simulation algorithms. Currently, he is investigating machine learning applications to discover patterns in point processes. Previously, he worked as a data scientist at Flowminder where he contributed to the development of analytical toolkits and socio-economic research using call detail records and remote sensing data for poverty mapping and mobility analysis. He spent two years as an Overseas Development Institute (ODI) Fellow in the Ministry of Economic Planning and Development in Eswatini. Guilherme holds a BSc in Economics and MSc in Econometrics and Mathematical Economics from the London School of Economics.