Ricardo uses statistics to analyze multiomics data at different scales. His research interests are focused in the study of tissue architecture and its disruption during disease. He uses single cell data and spatial technologies to achieve this.
PhD candidate in Computational Biomedicine
Heidelberg University, Faculty of Biosciences
Specialist in Applied Statistics, 2018
National Autonomous University of Mexico (UNAM)
Bachelor in Genomic Sciences (LCG), 2016
National Autonomous University of Mexico (UNAM)