Víctor Gil is an industrial and biomedical engineer turned data scientist with 11 years of experience building and leading ML-driven projects across academia and industry from Madrid. He combines a PhD-level background in statistics and decision science with hands-on leadership of cross-disciplinary initiatives—ranging from satellite- and IoT-enabled livestock productivity models to explainable AI for industrial optimization and energy poverty dashboards. As a university assistant professor and program coordinator he translates complex methods into clear narratives for non-experts and prepares high-level technical reports used in research and public policy. Víctor has repeatedly migrated research prototypes to scalable production (e.g., MATLAB-to-Python bill estimation) and mentors teams on practical model retraining and deployment strategies. Notably, his work blends rigorous mathematical optimization with applied ML to deliver decision-support tools that balance performance, interpretability and real-world constraints.
11 years of coding experience
8 years of employment as a software developer
MSc. Statistical-Computer Information Processing Data Science, MSc. Statistical-Computer Information Processing Data Science at Universidad Complutense de Madrid
BSc. Mathematics Mathematics, BSc. Mathematics Mathematics at Universidad Nacional de Educación a Distancia - U.N.E.D.
Doctor of Philosophy - PhD Statistics and Decision Science, Doctor of Philosophy - PhD Statistics and Decision Science at Universidad Rey Juan Carlos
Contributions:2 PRs, 10 pushes, 9 branches in 17 days
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Víctor Gil - Academic Exchange Program Coordinator