Who Will Dictate the Rules of the Game?
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The struggle for dominance in artificial intelligence.
AI Researcher
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.
External links
EN
The struggle for dominance in artificial intelligence.
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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.
As a researcher, I know it's impossible to read everything that's published. That's why I've developed an agent-based AI system that scans and screens on my behalf the latest material relevant to me. Subscribe to receive these findings periodically, along with the occasional personal reflection.
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.
Completed a collaborative research stay on robust uncertainty estimation and benchmark transferability.
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.
Television interview on the Está Pasando program about DATAI's main research directions, ongoing projects, and collaborations with industry and institutional partners.