Summary
Pedro Neto is an Artificial Intelligence Scientist and Invited Assistant Professor based in Porto with nine years of experience bridging research and applied ML in biometrics and digital pathology. He has led teams to release public datasets and co-developed Portugal’s first automatic colorectal cancer diagnosis tool using whole-slide images, translating deep learning research into clinical-grade systems. At Unilabs he focuses on xAI for Biometrics and Digital Pathology while teaching advanced machine learning and supervising PhD-level practicals at the University of Porto. His background spans medical imaging, face recognition explainability, and transformer-based fraud detection, reflecting a rare mix of academic rigor and production deployment. A former co-founder who built scalable microservices early in his career, he combines hands-on engineering with publication-grade research and dataset curation. Colleagues describe him as a practitioner who turns complex ML models into interpretable, real-world solutions.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Doctoral Program in Electrical and Computer Engineering, Doctor of Philosophy - PhD Doctoral Program in Electrical and Computer Engineering at Faculdade de Engenharia da Universidade do Porto
Master of Science - MS Computer Science - Big Data and Large-Scale Computing, Master of Science - MS Computer Science - Big Data and Large-Scale Computing at Aalto University
Bachelor of Engineering - BE Informatics Engineering, Bachelor of Engineering - BE Informatics Engineering at Instituto Superior de Engenharia do Porto
Portuguese, English