Sandro Pezzelle
Assistant Professor In Responsible Artificial Intelligence at IVADO Labs
Amsterdam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolSandro Pezzelle is an Assistant Professor in Responsible Artificial Intelligence at the University of Amsterdam, combining nine years of research experience across NLP, computer vision, deep learning, and cognitive science. He investigates the interpretability, evaluation, and semantic/pragmatic capacities of large language and visual-language models, with 40+ publications in top venues and ongoing work questioning whether LLMs can substitute human judges across evaluation tasks. An experienced supervisor and instructor, he mentors PhD candidates and has overseen 25+ BSc/MSc projects while teaching NLP and cognitive science courses. Active in the research community, he serves on the TACL editorial team, is a board member of SigSem, a faculty member of the ELLIS Amsterdam Unit, and organizes high-profile workshops at ACL/EACL. Beyond standard ML pipelines, his work uniquely blends experimental cognitive methods with multimodal model probing to reveal the human-like and non-human-like mechanisms behind language understanding.
9 years of coding experience
3 years of employment as a software developer
Master's degree Linguistics, Master's degree Linguistics at Università degli Studi di Padova (UNIPD) / University of PaduaDoctor of Philosophy - PhD Cognitive and Brain Sciences track Language Computation and Interaction, Doctor of Philosophy - PhD Cognitive and Brain Sciences track Language Computation and Interaction at Università di TrentoVisiting Master Student (Erasmus exchange program) Applied Linguistics, Visiting Master Student (Erasmus exchange program) Applied Linguistics at Université catholique de LouvainMachine Learning by Stanford University Computer Science, Machine Learning by Stanford University Computer Science at Coursera
Italian, English, olandese, French, Chinese
Github Skills (7)
information-theory7
quantifiers6
linguistics6
sentence6
acl5
nlp4
transformer-architecture2
Programming languages (2)
Github contributions (5)
sandropezzelle/fill-in-the-quant
Jan 2018 - Jun 2018
Codes and data used in Pezzelle, Steinert-Threlkeld, Bernardi, Szymanik (2018). "Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers" Proceedings of ACL 2018
Contributions:10 commits, 4 PRs, 8 pushes in 4 months
nlpinformation-theoryproceedingstransformer-architecturesentence
sandropezzelle/malevic
Aug 2019 - Nov 2020
Contributions:14 commits, 13 pushes, 1 branch in 1 year 3 months
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