Summary
Rodrigo Pena is a Senior Data Scientist based in Basel with a decade of experience applying mathematics and computation to extract insight from complex datasets. With a PhD from EPFL and current work at the University of Basel and CeDA, he blends rigorous signal-processing research—especially on graph-based signals—with practical ML solutions for scientific and societal challenges. His background includes cross-disciplinary research visits (Fraunhofer IDMT, CVSSP Surrey) where he developed novel audio similarity measures, showing an aptitude for transferring academic methods to real-world problems. Rodrigo is drawn to collaboration with domain experts, using his technical toolkit to illuminate data rather than impose one-size-fits-all models. He brings hands-on experience in clustering, signal analysis and reproducible research practices, and a track record of learning quickly across domains. Colleagues value his thoughtful, mathematically grounded approach to messy, high-impact problems.
10 years of coding experience
(No degree), Electrical and Electronics Engineering, (No degree), Electrical and Electronics Engineering at ENSEIRB-MATMECA
Doctor of Philosophy - PhD, Computer and Information Sciences, General, Doctor of Philosophy - PhD, Computer and Information Sciences, General at EPFL (École polytechnique fédérale de Lausanne)
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Universidade de Brasília
Portuguese, English, French, Spanish, Polish