Summary
Sara Cabo is an R&D director and physicist with 8 years of experience translating advanced AI, ML, and statistical modeling into deployable solutions for environmental health and large-scale scientific experiments. With a PhD in Physics and AI from the University of Oviedo and hands-on work on the Hyper-Kamiokande neutrino detector, she blends expertise in numerical simulation, causal and probabilistic modeling, and explainable AI to solve complex, data-rich problems. At Ygeria she leads the IntegrAI project, building predictive, IoT-integrated systems for dynamic risk certification in real buildings and driving experimental validation to TRL 6. Comfortable moving between fundamental research and product-focused R&D, she pairs deep quantitative skills with science communication and international collaboration experience. An unexpected strength is her background in both physics and mathematics, which underpins a rare fluency in rigorous modeling and practical engineering for real-world impact.
8 years of coding experience
3 years of employment as a software developer
PhD Programme in Space and Matter Sciences and Technologies, PhD Programme in Space and Matter Sciences and Technologies at Universidad de Oviedo
Spanish, English