Katia de Paiva Lopes, PhD

Katia de Paiva Lopes, PhD’s academic background includes a Bachelor’s degree in Computer Information System followed by a Master’s degree in Bioinformatics where she worked with transcriptome analysis. In 2017 she received her PhD from UFMG (Brazil) after a period as a visiting student at Salamanca University, Spain. Her thesis focused on the application of phylostratigraphy strategies to depict evolutionary gene co-expression networks in human tissues.

Her expertise allows her to work in a high-throughput computational environment developing pipelines emphasizing large-scale data analysis. Over the last years, her research has focused on investigating the role of different cell types in neurodegenerative disorders, including Alzheimer’s and Parkinson’s disease, through the application of computational methods.

A fun fact is that she collects “The Little Prince” books from different countries and languages.