Summary
Yuri Bizzoni is a senior researcher in computational linguistics and quantitative literary analysis with eight years of applied ML/NLP experience and a decade-plus background in machine learning research focused on word embeddings and neural approaches. He blends deep expertise in linguistics and literary studies—rooted in classical philology and corpus-based quantitative methods—with hands-on engineering in Python, PyTorch, TensorFlow and NLP toolkits to tackle problems like figurative language detection, sentiment and emotion analysis under data-scarce conditions. Currently based in Aarhus, he builds interdisciplinary bridges across computational linguistics groups, supervises student research, and organizes academic events that bring together linguists, mathematicians and philologists. Notably, his work spans both academic projects (Ancient Greek WordNet contributions) and applied platforms for writers, reflecting a rare mix of classical scholarship and production-oriented NLP.
8 years of coding experience
3 years of employment as a software developer
'Eironèia' e 'Sarkasmòs' negli Scholia uetera ad Homerum, Filologia e Letteratura Antica, 'Eironèia' e 'Sarkasmòs' negli Scholia uetera ad Homerum, Filologia e Letteratura Antica at Sapienza Università di Roma
Laurea Specialistica (Master) in Tecnologie del Linguaggio, Tecnologie del Linguaggio, 110/110 e lode, Laurea Specialistica (Master) in Tecnologie del Linguaggio, Tecnologie del Linguaggio, 110/110 e lode at Università di Pisa / University of Pisa
English, German, French, svedese, Spanish, Swedish, Danish