Sergio Gosalvez

PhD student at B2SLab, UPC. Research on foundation models for primary care, using interpretable deep learning on longitudinal EHR data for cardiovascular and endocrine disease prediction.

Keywords

foundation models, EHR, deep learning, cardiovascular disease, bioinformatics, UPC, interpretable AI

Bio

Welcome! I’m Sergio Gosálvez, just starting a PhD in Bioinformatics at B2SLab at the Universitat Politècnica de Catalunya (UPC). I’m happiest where maths, engineering and people meet.

My working thesis title is: “Foundation models in primary care: interpretable learning from longitudinal EHR data in cardiovascular and endocrine disease.” I work on deep learning for EHRs, modelling chronic conditions and predicting clinically relevant outcomes with modern architectures aiming for results that are both accurate and interpretable.

Before the PhD, I earned an MEng in Biomedical Engineering from Imperial College London and a Master’s in Biomedical Engineering from UPC. I also co-founded Paige Braille, building technology that lowers barriers to learning braille for blind and visually impaired people.

I’m product-minded by default: APIs, web apps, or whatever puts a useful tool in someone’s hands. If it’s user-centred, I’m in.

Contact

Reach out to me at sergio.gosalvez@upc.edu.