Summary
Gabriele Lagani is a research-focused computer engineer and PhD candidate in Computer Science at Università di Pisa, with nine years of experience bridging academic research and applied ML. Currently a Research Fellow at ISTI-CNR in Pisa, he specializes in biologically inspired deep learning—particularly Hebbian learning and spiking neural networks—alongside efficient neural architectures and computer vision. He spent a formative internship as an Applied Scientist at Amazon Berlin, building anomaly-detection solutions for online service data, demonstrating his ability to translate theory into production-ready systems. Gabriele combines top academic credentials (Laurea Magistrale 110/110 cum laude) with hands-on experimentation in neuromorphic approaches, positioning him to push energy-efficient and biologically plausible methods toward real-world deployment.
9 years of coding experience
PhD, Computer Science, PhD, Computer Science at Università di Pisa