Raul Garcia Veiga I am a Clinical Bioinformatician at the Vall d'Hebron Institute of Research. I enjoy turning genetic data into useful insights, so my work focuses on analysing sequencing data from patients with immunodeficiencies, with the aim of expanding knowledge of these diseases and moving us towards new diagnostic and therapeutic strategies. In my day-to-day work, I collaborate with laboratories, geneticists and clinicians to transform the wide diversity of genetic data into clear answers. Institutions of which they are part Research technician Infection and immunity in pediatric patients Vall Hebron Institut de Recerca LinkedIn Twitter Orcid Email Raul Garcia Veiga LinkedIn Twitter Orcid Email Institutions of which they are part Research technician Infection and immunity in pediatric patients Vall Hebron Institut de Recerca I am a Clinical Bioinformatician at the Vall d'Hebron Institute of Research. I enjoy turning genetic data into useful insights, so my work focuses on analysing sequencing data from patients with immunodeficiencies, with the aim of expanding knowledge of these diseases and moving us towards new diagnostic and therapeutic strategies. In my day-to-day work, I collaborate with laboratories, geneticists and clinicians to transform the wide diversity of genetic data into clear answers.
I began my studies in Biotechnology at the Autonomous University of Barcelona, and in Omics Data Analysis and Bioinformatics at the University of Vic–Central University of Catalonia. I then dived into various types of genomic analyses at the Centre for Genomic Regulation in Barcelona, where I explored the relationships between chromatin and gene expression. In Sweden, at the Karolinska Institutet, I consolidated gene expression and epigenetic analyses for various projects. I then moved on to large-scale infrastructures. At the European Genome-phenome Archive (CRG-EMBL), an archive that securely stores and shares genetic data for research, I worked on tools to review the quality of each submission before it entered the archive. I also explored artificial intelligence models to infer metadata to facilitate the sharing and reuse of genetic studies. Working in a research-critical archive taught me how to create reliable and reusable processes. Today, I apply all this knowledge in the clinic at VHIR, where I design different genetic analysis workflows, validate results and collaborate on interpretation with the clinical teams.
