Joaquín Delgado Fernandez received his Master’s degree in Artificial Intelligence from the International University of La Rioja (Spain). His area of expertise is in distributed computing using advanced machine-learning applications. In his early career, He focused first on the private sector to acquire first-hand experience with real machine-learning applications. At a later stage, during his doctorate, He expanded his focus into developing solutions to evaluate sensitive machine-learning applications based on his previous experience in the private sector. In other words, the analysis of distributed multi-party computation systems (federated learning) in conjunction with privacy-preserving techniques, such as differential privacy or secure aggregation. His two main areas of research applications are in the energy sector (load forecasting) and in the financial sector (credit risk assessment).