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.