Mátyás Vincze

Mátyás Vincze is a PhD student at Fondazione Bruno Kessler, leading a project on collaborative synthetic-data generation to enhance multilingual large language models' accuracy and reduce bias, while also researching Mixture of Experts pruning and reward design for collaborative reinforcement learning. Previously, Mátyás served as a research intern at HK3Lab, developing classification models for toxicological predictions in collaboration with the US FDA, and at HSDSLab, where a testing protocol for machine learning pipelines was engineered, resulting in improved accuracy. Additionally, Mátyás gained experience as a data intern at Vodafone, creating dashboards and acquiring cloud reporting skills. Mátyás holds a PhD in Social and Cooperative AI from Università di Trento, alongside a Master of Science in Artificial Intelligence and a Bachelor of Science in Mathematics from Budapest University of Technology and Economics.