Summary
Jaime Sánchez is an expert researcher and data scientist with 10 years’ experience applying AI and data-driven methods to interdisciplinary problems, currently focused on the agri-food sector at AZTI. He holds a Ph.D. in Engineering Systems Modelling from Universidad Pontificia Comillas (2024) and a Master’s in Machine Learning and Multimedia Data Science from UPM, combining deep academic research in causal AI and gamification with practical deployments. Jaime has delivered solutions spanning energy optimization for data centers, synthetic data generation with GANs, explainable and causal ML (SHAP, causal discovery, Do-Calculus), and rapid web prototyping with Streamlit and Docker. He has led technical teams on EU-funded research (H2020 RAYUELA), supervised tendered projects, and actively communicates generative AI use cases internally and at conferences. Notably, he blends rigorous causal inference techniques with simulation-based synthetic data to tackle socially relevant problems like cyberbullying and behavioral analytics.
10 years of coding experience
Doctorate Program in Engineering Systems Modeling, Doctorate Program in Engineering Systems Modeling at Universidad Pontificia Comillas ICAI-ICADE
Master of Science in Telecommunication Engineering, Major in Machine Learning and Multimedia Data Science, Master of Science in Telecommunication Engineering, Major in Machine Learning and Multimedia Data Science at Universidad Politécnica de Madrid
English, Spanish