Summary
Raquel Costa is a data scientist with a decade of experience applying bioinformatics, biomathematics, and computational biology to healthcare data using high-performance computing and scientific workflows. With a PhD from LNCC and a doctoral internship at The University of Manchester, she combines rigorous academic training with practical skills in databases, statistical methods, machine learning, and data visualization. Based in Heidelberg, she focuses on integrating diverse healthcare information to enable reproducible, scalable analyses across distributed computing environments. Her background in geography and cartography adds a unique spatial perspective to biological data interpretation and visualization. Raquel is comfortable bridging research and production, translating complex computational pipelines into actionable insights for biomedical problems.
10 years of coding experience
Doctoral Intership, Biomathematics, Bioinformatics, and Computational Biology, Doctoral Intership, Biomathematics, Bioinformatics, and Computational Biology at The University of Manchester
Posgraduate Specialization, Geography and Cartography, Posgraduate Specialization, Geography and Cartography at Universidade Federal Fluminense
Doctor of Philosophy (Ph.D.), Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy (Ph.D.), Biomathematics, Bioinformatics, and Computational Biology at National Laboratory of Scientific Computing (LNCC)
Bachelor’s Degree, Biology/Biological Sciences, General, Bachelor’s Degree, Biology/Biological Sciences, General at Universidade Federal de Ouro Preto
Portuguese, English, Spanish, German