Summary
Federico Errica is a Senior Research Scientist at NEC Laboratories Europe with 11 years of experience advancing deep learning on graphs, grounded in a PhD in Computer Science from the University of Pisa. His work bridges self-adaptive networks, probabilistic models and neural architectures, with practical R&D stints including breast cancer detection and low-resource classification at industry labs like Reply and Facebook AI. Based in Italy, he combines rigorous academic training with applied research that moves probabilistic reasoning into scalable neural systems. Known for "teaching machines" as noted on his GitHub, he focuses on models that adapt and quantify uncertainty—bringing robustness to real-world graph learning problems.
11 years of coding experience
3 years of employment as a software developer
Diploma, General Studies, Diploma, General Studies at Liceo Scientifico Federigo Enriques, Livorno
Doctor of Philosophy - PhD, Computer Science, Honours, Doctor of Philosophy - PhD, Computer Science, Honours at Università di Pisa
English, Italian, German