Dr. Roche‐Lima earned his PhD in Computer Sciences from the University of Manitoba, Canada. He has a broad background in applying computer science to complex biological data. His current research area is the application of artificial intelligence and machine learning methods for the prediction, analysis, and interpretation of biomedical data. He is also the Director of the Integrated Informatics Service facility (IIS) and Coordinator of the Research Capacity Core (RCC) of the Center for Collaborative Research in Health Disparities, a federally funded center for minority institutions at the Medical Science Campus, University of Puerto Rico. The goals of these cores are to provide one point of contact to assist researchers with the general aspects of biomedical informatics (i.e., bioinformatics, health informatics, and operational informatics) and other related areas (e.g., genomics and proteomics) as they apply to biomedical science research. Dr. Roche-Lima's most recent papers describe using novel supervised learning algorithms for the implementation of bioinformatics and clinical informatics applications. A more detailed list of his publications can be found at: https://pubmed.ncbi.nlm.nih.gov/?term=roche-lima&sort=date