Pedro Miguel Sánchez Sánchez – Data Scientist, AI & Cybersecurity Researcher
I am Pedro Miguel Sánchez Sánchez, a Data Scientist and Researcher specializing in Artificial Intelligence, Federated Learning, and Cybersecurity at Roche in Madrid, Spain. With a strong focus on trustworthy AI and decentralized learning paradigms, my research explores how intelligent systems can be deployed securely, fairly, and robustly in real-world settings, especially in IoT and critical infrastructure environments.
My academic journey began with a B.Sc. and M.Sc. in Computer Science from the University of Murcia, where I specialized in secure continuous authentication for smart devices. I later earned a Ph.D. in Computer Science (Cum Laude) from the same institution. My doctoral research, conducted in close collaboration with armasuisse S&T in Switzerland, was centered on behavioral fingerprinting of IoT devices for identification and attack detection using Machine and Deep Learning.
In my last PhD stage and Post-PhD, my work has pivoted toward cutting-edge topics in Decentralized Federated Learning, adversarial robustness, and AI model explainability, contributing to European defence and digital sovereignty through projects. Then, I moved to Funditec, where I focus on applied ML/DL and cybersecurity research, as well as European and National research grant preparation, project execution, and administration. Afterwards, I joined Roche as a Data Scientist, where I apply AI in different business use cases.
This website presents an overview of my work, achievements, and collaborations. You can explore my peer-reviewed publications, conferences, and projects. The site is continuously updated and serves as a central hub for my academic and research activities.
Feel free to explore, cite, or reach out for collaborations related to secure AI systems, federated learning architectures, or research project proposals.