A curated stream of accepted papers, talks, collaborations, and institutional milestones.
Latest News
Conference|
Participation in AIME 2026
From July 7 to 10, 2026, I participated in the 24th International Conference on Artificial Intelligence in Medicine (AIME 2026), hosted by the University of Ottawa. We presented "Bidirectional Floating Feature Selection Guided by Uncertainty Quantification", a study introducing Conformal Bidirectional Floating Search (CBFS). The method uses conformal prediction to find compact feature subsets that reduce predictive uncertainty and was evaluated on synthetic data and multi-cohort transcriptomic data from immunotherapy studies. The work highlights the potential of uncertainty-aware feature selection for reliable biomarker discovery and is published in Springer's Lecture Notes in Artificial Intelligence proceedings.
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.
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.
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.
University of Navarra highlights our role in a European breast cancer project
The University of Navarra featured our participation in a European research project using big data methods to anticipate response to neoadjuvant therapy in patients with poor-prognosis breast tumors.