Summary
Xavier Palou is a data scientist with 16 years of experience applying computer vision and deep learning to healthcare and precision medicine, currently leading multi-modal medical imaging projects at Quibim. He builds production-ready AI for image harmonization, lesion detection/segmentation, disease prediction and treatment-response assessment, and coordinates EU-funded research collaborations with pharmaceutical partners. Previously he led applied research at Eurecat on imaging, time-series forecasting for respiratory infections, intelligent health systems and genomic predictive analysis, combining Transformers, CNNs and classical ML. A PhD in AI from Universitat Pompeu Fabra and an MSc from Edinburgh underpin a career that spans software engineering, academic research and grant evaluation, including roles as an external expert evaluator and journal review editor. Notably, he bridges image-driven discovery and genomics—using imaging biomarkers to predict mutations—and consistently moves cutting-edge models from research into regulated clinical and product settings.
16 years of coding experience
19 years of employment as a software developer
Master's degree Artificial Intelligence Data Mining and Machine Learning, Master's degree Artificial Intelligence Data Mining and Machine Learning at The University of Edinburgh
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Universitat Pompeu Fabra
UPC Universitat Politècnica de Catalunya