Gabriele Lagani

Research Fellow at Università di Pisa

Tuscany, Italy
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Summary

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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.
code9 years of coding experience
bookPhD, Computer Science, PhD, Computer Science at Università di Pisa
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Programming languages (1)

Python

Github contributions (5)

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Contributions:16 commits, 13 pushes, 1 branch in 2 years 6 months
GabrieleLagani/HebbianPCA

Mar 2020 - Apr 2022

Contributions:23 commits, 19 pushes, 1 branch in 2 years 1 month
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