Bonaventura Pacileo

Bonaventura Pacileo is an experienced data scientist with a strong background in designing and applying AI deep learning algorithms, notably achieving over 70% predictive accuracy with complex unstructured clinical data. Currently at autone since October 2024 and previously at Elder from March 2021 to October 2024, Bonaventura has demonstrated expertise in utilizing sensor data for activity prediction and enhancing user engagement. Past roles include contributions at SyncVR Medical and a significant tenure at OECD-OCDE, where Bonaventura developed a data-driven assessment framework and a new automated data pipeline, along with experience in quantitative analysis and product development. Bonaventura holds master's degrees in Information Studies and Economics and Social Sciences from the University of Amsterdam and Università Bocconi, respectively, along with various educational experiences at esteemed institutions such as Erasmus University Rotterdam and The London School of Economics.