Dr. Dopazo’s interests revolve around different angles of data science, including functional genomics, systems biology, Real World Data analysis, as well as the development of algorithms and software applied to precision medicine and systems medicine. Specifically, he is interested in developing statistical and machine learning methods for large-scale integrative analysis of heterogeneous medical data (including high-throughput genomic data, medical image and clinical data) to understand and discover disease mechanisms and drug action mechanisms. As the Platform of Computational medicine is integrated in the Andalusian Public Health System, different initiatives and pilot projects habe been carried out, such as the Genomic Surveillance Circuit which sequences genomes of emeiging viruses (SARS-CoV-2, monkeypox, Nilo Fever, etc.) and its One Health counterpart SIEGA, for environmental pathogens, or the first Trusted Research Environment iRWD to analyze RWD from the Population Health Database, containing detailed clinical informationa on more than 13 million users of the Andalusian Health System.