Summary
Yunior Reyna is a scientific computing engineer based in Madrid with a PhD in Computer Science and eight years of experience bridging computational research and biological imaging. He specializes in designing and implementing cryo-EM and cryo-ET workflows, storage and connectivity architectures, and Python APIs that integrate diverse image-processing packages for 3D macromolecular reconstruction. Prior to joining CNB-CSIC he spent a decade in academia as an assistant professor teaching AI, discrete and applied mathematics, and operations research, which informs his methodical, research-driven approach to software design. His work uniquely combines hands-on pipeline development and visualization tools for single-particle analysis and electron tomography, making complex microscopy pipelines more reproducible and accessible. Comfortable translating experimental needs into production-ready software, he often builds Python wrappers and automation that reduce the barrier between wet-lab scientists and computational tools. Fluent in both research and engineering cultures, he brings an uncommon depth in algorithmic thinking to practical infrastructure and workflow problems.
8 years of coding experience
12 years of employment as a software developer
Degree on Master in Applied Computer Science Applied Computer Science, Degree on Master in Applied Computer Science Applied Computer Science at Universidad de Camaguey
Bachelor in Computer Science Computer Science, Bachelor in Computer Science Computer Science at Universidad de Oriente. Cuba
Universidad Central "Marta Abreu" de Las Villas