Mauro Pinto is a Senior Data Scientist based in Amsterdam who turns physiological signals into actionable insights, currently building edge-to-cloud algorithms for stress-related monitoring at Nowatch. With a research background in EEG-based epilepsy seizure prediction and MS progression from CISUC and the University of Coimbra, he blends rigorous ML interpretability with practical signal-processing deployed on wearables. He has taught and mentored aspiring data scientists, won the 3-Minute Thesis 2020, and routinely explains complex topics to broad audiences. Beyond labs, Mauro channels creativity into theatre and radio—co-creating a play about seizure prediction and publishing three poetry books—bringing uncommon storytelling and communication skills to technical problem solving.
5 years of coding experience
5 years of employment as a software developer
Erasmus Exchange Program Biomedical Engineering, Erasmus Exchange Program Biomedical Engineering at KU Leuven
Biomedical Engineering Engenharia Biomédica, Biomedical Engineering Engenharia Biomédica at Universidade de Coimbra
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