Summary
Massimo Daul is a mathematics and computer science student at NYU with eight years of hands-on experience applying ML to low-resource language technology. As a computational intern he has led projects fine-tuning Wav2Vec2-BERT models for ASR and forced alignment, transcribed field recordings, and co-authored work presented at ICLDC with a submission to Interspeech. He bridges rigorous mathematical thinking with practical language documentation pipelines, bringing both research and engineering perspectives to endangered-language corpora. A Shelby Davis Scholar from UWC Adriatic, he combines international field experience with internships at research organizations like The Jackson Laboratory. Massimo’s profile reflects a rare early-career mix of publication experience, model fine-tuning expertise, and commitment to under-resourced linguistic communities.
8 years of coding experience
Bachelor's degree, Mathematics and Linguistics, Freshman, Bachelor's degree, Mathematics and Linguistics, Freshman at New York University
International Baccalaureate, International Baccalaureate at UWC Adriatic - Collegio del Mondo Unito dell'Adriatico O.N.L.U.S.