Summary
Carlos Roca is a computational biology and bioinformatics leader with 11+ years of experience translating quantitative methods into drug discovery and early clinical development across industry and academia. Currently Head of Bioinformatics Europe–USA at CSL R&D, he builds and steers cross-continental teams and strategies that apply machine learning, knowledge graphs, and bespoke algorithms to target discovery, biomarker validation, safety and patient stratification. His background spans developing widely adopted algorithms (e.g., AutoSpill for high-parameter flow cytometry), pioneering multi-omics single-cell analysis, and creating normalization and pathway-analysis methods grounded in applied mathematics. Comfortable at the intersection of software engineering, statistics and biology, he advises stakeholders from wet-lab scientists to global R&D leaders and consistently emphasizes innovation built on rigorous science and engineering.
10 years of coding experience
17 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master of Science (M.Sc.) Telecommunications Engineering, Master of Science (M.Sc.) Telecommunications Engineering at Universidad Politécnica de Madrid
English, Spanish, German, French