Alessio Ragno is an Associate Professor and AI researcher based in Lyon with a decade of experience bridging academic research and applied software development. He earned a PhD in Artificial Intelligence (cum laude, top 5%) for work on topology-based explanations for neural networks and has held postdoctoral roles at INSA Lyon and EPITA following a visiting scholarship at UNC Eshelman. His background combines rigorous theory—explainable AI, topology, reinforcement learning—with hands-on projects such as a long-running 3D-QSAR developer role and mobile app development. Recognized consistently for academic excellence, he graduated top of his class at Sapienza and was selected for institutional excellence programs throughout his studies. Alessio’s profile reflects a rare mix of explainability-focused AI research and practical engineering, making him adept at turning complex models into interpretable, deployable systems.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Artificial Intelligence and Robotics, Master of Science - MS, Artificial Intelligence and Robotics at Sapienza Università di Roma
Scuola Media Superiore, Scienze informatiche, Scuola Media Superiore, Scienze informatiche at Liceo Scientifico Antonio Labriola
Contributions:23 commits, 18 pushes, 1 branch in 2 months
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