Francisco José Amado Caramelo is an associate professor at the Faculty of Medicine of the University of Coimbra (FMUC), where he teaches Biophysics and Biostatistics. He is the coordinator of Biostatistics both in the Dentistry and Biomedical Engineering Masters, he is the coordinator of Topics of Artificial Intelligence: Machine Learning of the Medicine Master, and he also coordinates Detection of Biomedical Data Patterns and Multivariate Analysis of Biomedical Data which are subjects of the Ph.D. program in Biomedical Engineering at the Faculty of Science and Technology of the University of Coimbra. He collaborates in other subjects of statistics taught in different postgraduate courses at FMUC and in the Ph.D. program of Health Sciences at the same faculty. He is the coordinator of two short statistical courses. His area of expertise is physics and statistics applied to the health sciences. The main area of investigation has been the development of statistical methods, mainly based on machine learning techniques, to solve complex problems in medicine, with a particular focus on genomics and nuclear imaging (PET and SPECT). He is a member of the Laboratory of Biostatistics and Medical Informatics of the Faculty of Medicine and carries out his research, as principal investigator and as a collaborator, in several projects at the Center for Innovative Biomedicine and Biotechnology (CIBB), and at the Institute of Applied Health Nuclear Sciences (ICNAS). The results of his research have been translated into numerous publications and patents. In recent years, he has been part of the Organ Responsible for the Welfare of Animals (ORBEA) giving advice on the design of the statistical analysis of animal experimentation projects.