Rocío Rama Ballesteros
Rocío's project investigates the use of machine learning to better understand the signature of selection and co-evolution on genomic data. The goal is to infer new understanding about the evolution and interactions between protein coding genes. While this requires HPC to call selection or interaction, Rocío will rather focus her project on their (very large) output, to propose meaningful ways to sort and interpret biologically these analyses.
Funding: Swiss National Science Foundation (PNR Big Data)