I'm a bioinformatician with over 10 years of experience in omics data analysis, data management, and computational biology. My expertise encompasses the design and implementation of scalable data pipelines, relational and non-relational database systems, and software solutions tailored for large and complex biological datasets. I have experience in data integration, analytics, and modeling, contributing to diverse translational research and systems biology initiatives. My technical proficiency includes R, Python, SQL, and other programming languages, as well as workflow management tools such as Nextflow and Snakemake. I'm also experienced at working in cloud-based and high-performance computing (HPC) environments. I am committed to advancing data quality, interoperability, and scalability in bioinformatics systems.
I obtained my Master’s degree in Bioinformatics from the University of Minho in Portugal, and completed my Master’s thesis at the University of Geneva in Switzerland. I subsequently obtained my PhD from the University of Fribourg, Switzerland, in the Urs group, working under the supervision of Dr. Jürgen Ripperger and in close collaboration with the Wegmann group, where my research focused on bioinformatics and computational modeling to infer photoperiod and age-related changes in circadian oscillators.
Following my PhD, I pursued a postdoctoral position in the Marc Robinson-Rechavi group within the Department of Ecology and Evolution at the University of Lausanne, Switzerland. In this role, I worked as a data scientist and bioinformatician as part of the Bgee team. My work involved the analysis and integration of single-cell transcriptomics data from multiple platforms, as well as contributing to the development and maintenance of data processing pipelines in collaboration with other Bgee members.