Summary
Guillaume Le Berre is a data scientist and recent PhD graduate in computer science specializing in natural language processing and deep learning, based in Montreal. He has nine years of research experience applying pre-trained transformers (BERT, RoBERTa, T5) to tasks like question answering and abstractive summarization, including work on variational encoder/decoder models during a research internship at Loria. Currently at IVADO Labs, he is seeking his first industry role in machine learning or ML engineering, bringing both strong theoretical foundations and hands-on model fine-tuning skills. His background spans international research internships (including JAIST in Japan) and an engineering degree from Mines Nancy, reflecting a blend of rigorous algorithmic thinking and practical system-building. Notably, his PhD-trained expertise in adapting transformer architectures to summarization tasks positions him to bridge cutting-edge NLP research with production-ready ML solutions.
9 years of coding experience
Engineering Degree, Computer Science, Engineering Degree, Computer Science at Ecole Nationale Supérieure des Mines de Nancy
Master of Science, Natural Languages Processing, Master of Science, Natural Languages Processing at Université de Lorraine
PhD, Computer Science, PhD, Computer Science at University of Lorraine
Baccalauréat, Scientific (Engineering major), with distinctions, Baccalauréat, Scientific (Engineering major), with distinctions at Lycée Felix le Dantec (Lannion)
CPGE Scientifique, Mathematics, Physics, CPGE Scientifique, Mathematics, Physics at Lycée Chateaubriand (Rennes)
PhD, Computer Science, PhD, Computer Science at University of Montreal
French, English, Japanese