Deep expertise, scientific mindset

Chief Executive Officer (CEO)

Stella Luna

Stella Luna is a senior specialist with more than 20 years of experience in data analytics, Machine Learning and the leadership of advanced data-driven projects. She holds degrees in Mathematics and Physics from the Autonomous University of Madrid (UAM), combining strong theoretical foundations with extensive practical experience in applied scientific analytics and AI methodologies.

Throughout her career she has led and participated in multidisciplinary projects focused on data science and predictive analytics, Machine Learning systems, biomedical and scientific data analysis, advanced statistical modeling and AI-driven research initiatives.

Stella is also a regular speaker and contributor in media and scientific communication initiatives related to Data Science, Artificial Intelligence and Machine Learning.

Chief Data Officer (CDO)

Jose Ramon Luna

Jose Ramon Luna is a specialist with more than 20 years of experience in Data Analytics, Machine Learning and Artificial Intelligence across multiple sectors, with a particular focus on healthcare and biomedical applications. He holds degrees in Physics and Mathematics from the Autonomous University of Madrid (UAM) and a Master’s Degree in Risk Management from the MEFF Institute.

His work focuses on the integration of causal inference methodologies, statistical bias detection and mitigation, predictive Machine Learning systems, deep learning and multimodal AI, explainable white-box frameworks and clinical predictive modeling.

His research interests include propensity-score methodologies, causal Machine Learning, mechanistic interpretability, clinical predictive systems, imaging AI and robustness and fairness validation.

At Deep Bio Data he leads the technical strategy behind clinically interpretable and scientifically reliable AI systems for biomedical research and healthcare innovation.