Summary
José Amorim is a Data Scientist and ML engineer with a decade of experience bridging academic research and industry, currently applying interpretable deep learning at Feedzai while mentoring diverse learners through As Raparigas do Código. He holds a summa cum laude PhD in Informatics Engineering from Universidade de Coimbra, where his thesis focused on making oncology-focused deep models more explainable and on metrics to evaluate attribution maps. His work spans medical image analysis, clinical decision support, and pattern recognition, with hands-on expertise in Python, TensorFlow, PyTorch and production tooling like Docker. Unusually for a researcher, he combines classroom teaching and grassroots mentoring with applied research in hospital settings (IPO-Porto), curating clinical datasets and validating CNNs for cancer prediction. This blend of rigorous academic credentials, practical healthcare collaborations, and community-driven teaching makes him effective at translating complex XAI research into usable clinical and product outcomes.
10 years of coding experience
6 years of employment as a software developer
Mestrado Integrado em Engenharia Informática, Computer Engineering, Mestrado Integrado em Engenharia Informática, Computer Engineering at Faculdade de Engenharia da Universidade do Porto
Doctor of Philosophy (PhD), Informatics Engineering, Specialization in Intelligent Systems, Unanimously Approved with Distinction and Honors (Summa Cum Laude)., Doctor of Philosophy (PhD), Informatics Engineering, Specialization in Intelligent Systems, Unanimously Approved with Distinction and Honors (Summa Cum Laude). at Universidade de Coimbra
Portuguese, English