Summary
Tommaso Caselli is an Assistant Professor in Linguistics at the University of Groningen with a decade of experience focusing on Computational Linguistics and Natural Language Understanding. His research spans semantics, discourse analysis, anaphora and temporal processing, and the creation and semantic annotation of language resources, combining theoretical insight with practical skills in XML schema and validation. He has led projects on extracting storylines and modeling participant perspectives from large news streams, and has a strong track record in teaching NLP, machine learning, and deep interpretation. Tommaso’s background includes postdoctoral and research roles across Europe and Hong Kong, reflecting a global research network and hands-on expertise in corpus annotation and crowdsourced data collection. Notably, he blends rigorous linguistic theory with engineering-oriented tool development, making him adept at turning semantic annotation schemes into usable computational resources.
10 years of coding experience
6 years of employment as a software developer
MA Linguistics Computational Linguistics, MA Linguistics Computational Linguistics at Università di Pavia
PhD Linguistics Computational Linguistics, PhD Linguistics Computational Linguistics at Università di Pisa
English, French, Spanish