Julio is broadly interested in how large biological data sets can be interrogated with mathematical models to unveil the molecular basis of disease as a means to develop novel therapies. The current emphasis of his research is on single-cell and spatial data, multi-omics integration, and understanding multi-cellular communication. He is particularly interested in how to use the existing knowledge of biological processes to support computational analysis. He supports open science, especially by developing open-source computational tools and co-organization of the DREAM challenges. While the computational methods are broadly applicable, his focus is on cancer, autoimmune diseases, and conditions of the kidney and heart.