Luca Benedetto

Maître De Conférences at Télécom SudParis

Earth, Texas, France
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Summary

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Senior
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Top School
Luca Benedetto is a machine learning researcher and Maître de Conférences with nine years’ experience applying NLP and user modeling to education, currently holding roles at Télécom SudParis and as a visiting researcher at the University of Cambridge. His work focuses on automated evaluation of learning content and dynamic modeling of student knowledge and misconceptions, blending research-grade NLP with practical assessment analytics. He has translated academic insights into industry impact during a stint as a data scientist at Cloud Academy, building recommenders, skill-tracking systems, and exam-question calibration tools. Trained with a PhD from Politecnico di Milano and multiple European master's degrees, he combines strong theoretical grounding with hands-on deployment experience. An understated strength is his consistent international collaboration—especially with Cambridge ALTA—which informs his pragmatic, evaluation-driven approach to educational AI.
code9 years of coding experience
job7 years of employment as a software developer
bookMaster's degree, Software Engineering, Master's degree, Software Engineering at Politecnico di Torino
bookMaster's degree, Communication Systems Security, Master's degree, Communication Systems Security at Télécom Paris
bookMaster's degree, Master's degree at EURECOM
bookDoctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Politecnico di Milano
bookMaturità classica, Indirizzo per le Scienze, Maturità classica, Indirizzo per le Scienze at Liceo Classico V. Alfieri
languagesItalian, English, French, Spanish
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Github Skills (4)

textual7
natural-language-processing5
security4
ai3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Repository containing all the exercise sessions for the 2019 "AI for security" course
Contributions:33 commits, 31 pushes, 1 branch in 11 months
aisecurity
This repo contains the code used to obtain the results presented in our paper "R2DE: a NLP approach to estimating IRT parameters of newly generated questions"
Contributions:10 commits, 12 pushes in 3 years
natural-language-processing
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