Summary
Rodrigo Manzanas is a tenured professor and applied mathematician with 11 years of research and teaching experience specializing in machine learning and data mining for statistical downscaling of climate simulations across time scales. He holds a PhD awarded with an Extraordinary Prize and has authored 50+ high-impact publications while leading multiple international projects and knowledge-transfer contracts with organizations such as FAO and the IPCC. Rodrigo has blended academic rigor with industry practice as head of R&D at Predictia, and his consultancy work has directly supported climate–agriculture assessments and capacity building in developing countries. As an IPCC Science Officer he contributed to the AR6 Atlas chapter, demonstrating an uncommon mix of technical modeling, policy-facing science communication, and operational outreach. Based in Spain, he teaches data science across undergraduate and master programs, bridging cutting-edge research with practical training for engineers.
11 years of coding experience
2 years of employment as a software developer
Doctor en Ciencia, Tecnología y Computación, Premio Extraordinario de Doctorado 2018, Premio del Consejo Social 2018, Doctor en Ciencia, Tecnología y Computación, Premio Extraordinario de Doctorado 2018, Premio del Consejo Social 2018 at Universidad de Cantabria
Licenciado en Física, Licenciado en Física at Universidad de Salamanca
inglés (certificación c1), italiano (certificación c1), French