AI Researcher

Marcos López de Castro

Physicist turned trustworthy AI researcher. Specialized in conformal prediction and uncertainty quantification, I am particularly interested in knowledge discovery, digital medicine, mathematical modelling, and the potential of classical and quantum computing.

University of Navarra/DATAI

Featured posts

Generated by AI, reviewed by Marcos9 min

Calibration and Uncertainty in Machine Learning: Advances, Limits, and Current Challenges

EN

Calibration and uncertainty quantification in machine learning have made great strides, yet they remain far from offering universal guarantees outside of stable environments. This analysis reviews their current state, the most common methods, and their main limitations.

#machine learning#calibration#uncertainty#uncertainty quantification
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Latest News

Invited Talk

Invited lecture

On February 27, 2026, I had the pleasure of being an invited speaker in the University Master's in Mathematical Modeling at the University of Salamanca (USAL). During the two-hour session, I delivered the lecture titled "Does your model know what it doesn't know? Conformal prediction for reliable uncertainty quantification". It was a great experience to share ideas on the importance of quantifying uncertainty reliably in machine learning models.

Research Stay

Research stay completed at Ghent University

Completed a collaborative research stay on robust uncertainty estimation and benchmark transferability.

Press

Diario de Navarra covers the IFIT index for more personalized cancer therapies

Diario de Navarra featured the presentation of the IFIT index, an AI tool designed to assess the immunological fitness of oncology patients and support more personalized therapeutic decisions.

Interview

Navarra TV interview on DATAI and current AI research lines

Television interview on the Está Pasando program about DATAI's main research directions, ongoing projects, and collaborations with industry and institutional partners.