Fernando García García

BCAM Researcher at the Computational and Applied Statistics group.
Data Science Coordinator at the Knowledge Transfer Unit (KTU).

Short bio:

Fernando obtained his MSc in Telecommunication Engineering in 2007 [first-class honours] and his PhD in Biomedical Engineering in 2015 [cum laude], both from the Technical University of Madrid (UPM). He has had post-doctoral research experience at the ARTORG Center for Biomedical Engineering Research (Switzerland), the University Carlos III of Madrid (UC3M), and the Basque Center for Applied Mathematics (BCAM) in Bilbao.

Research interests:

His core expertise is developing AI-ML solutions for biomedical and health scenarios. These range from supervised classification for prognosis to unsupervised clustering for patient profiling and DL-based computer vision for medical image understanding. Currently, he researches topics such as ordinal classification and ML-based competing risk analysis for time-to-event modelling.