; EMBL EBI
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.
Omics approaches, in particular those with single-cell and spatial resolution, provide unique opportunities to study the deregulation of intra- and inter-cellular processes in disease using computational approaches. The use of prior biological knowledge allows us to reduce the dimensionality and increase the interpretability of the data, in particular by extracting from the data features describing the activity of molecular processes such as signaling pathways, gene regulatory networks, and cell-cell communication events. In this talk, I will present resources and methods from our group to extract mechanistic information from diverse omics data using computational methods, and illustrate them in several disease applications.
Event Time & Dates
Event Details