Luca Benedetto
Maître De Conférences at University of Cambridge
Earth, Texas, France
Summary
👤
Senior🎓
Top SchoolLuca 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.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Software Engineering, Master's degree, Software Engineering at Politecnico di TorinoMaster's degree, Communication Systems Security, Master's degree, Communication Systems Security at Télécom ParisMaster's degree, Master's degree at EURECOMDoctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Politecnico di MilanoMaturità classica, Indirizzo per le Scienze, Maturità classica, Indirizzo per le Scienze at Liceo Classico V. Alfieri
Italian, English, French, Spanish
Github Skills (14)
traits8
estimate8
sentence7
nmf7
textual6
natural-language-processing5
language-processing5
lda5
nlp5
topic-modeling5
machine-learning4
bert4
security4
arabic-nlp3
Programming languages (2)
Github contributions (5)
lucabenedetto/r2de-nlp-to-estimating-irt-parameters
Dec 2019 - Dec 2022
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
nlpparametersirtsentencebert
lucabenedetto/text2props
Apr 2020 - Dec 2022
Repository containing the source code of text2props, a framework to estimate latent traits of questions from textual information, presented in the paper "Introducing a framework to assess newly created questions with Natural Language Processing"
Contributions:109 commits, 35 pushes, 1 branch in 2 years 8 months
nlpldalanguage-processingnatural-languageassess
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