Summary
Pedro Sánchez is a Data Scientist at Roche with a PhD in Computer Science and nine years of experience applying AI, ML and DL to real-world and security-critical problems. His doctoral work—conducted with armasuisse S&T—produced novel IoT device fingerprinting and intrusion-detection methods tailored for constrained environments, and he has extended that research into decentralized federated learning and trustworthy, privacy-preserving AI. He has moved seamlessly between academia, European security projects (EU-GUARDIAN, 5GZORRO, ROBUST-6G) and applied research roles, helping translate cutting-edge methods into operational incident-management and cyber-defence tools. At Roche he focuses on bringing secure, explainable and societally-aligned AI into product and business use cases, while his background in secure/private AI nanodegrees underpins rigorous privacy-aware design. Colleagues know him for bridging deep research with pragmatic engineering and for a consistent interest in foundational models and distributed intelligence across constrained networks.
9 years of coding experience
5 years of employment as a software developer
Secure and Private AI Scholarship Nanodegree, Artificial Intelligence, Privacy, Deep Learning, PyTorch, Secure and Private AI Scholarship Nanodegree, Artificial Intelligence, Privacy, Deep Learning, PyTorch at Udacity
Doctor's Degree, Computer Science, Cum Laude, Doctor's Degree, Computer Science, Cum Laude at Universidad de Murcia
Spanish, English