Daniel Gómez-Bravo Puerta is a PhD student at the Medical Data Analytics Laboratory (MEDAL) located at the Center for Biomedical Technology (CTB) of the Universidad Politécnica de Madrid (UPM). He holds a Master’s degree in Information Health Engineering (2021) and a Bachelor’s degree in Biotechnology (2020). His research expertise areas are bioinformations, data science, artificial intelligence and personalize medicine. He is author of 2 conference papers. He has been involved in an european project named P4-LUCAT, trying to find the best treatments for each type of patient that can be found in the data provided by hospitals. He also teaches some subjects at the Department of Computer Languages and Systems and Software Engineering of UPM, where he has been part of courses in the Data Science and Artificial Intelligence Degree, as well as in Data Science Master and EIT Health Master.