Summary
Emanuela Boros is an AI and NLP research scientist with a PhD from Université Paris-Saclay and 11 years of experience bridging academic research and applied machine learning. She has held research and scientist roles at EPFL and La Rochelle Université and contributed to long-term projects in historical media monitoring and document understanding. Her expertise centers on information extraction, neural methods for event extraction, and deep learning for NLP, with a track record of teaching and engineering that keeps her close to practical deployment. Emanuela’s background uniquely blends rigorous research with hands-on product work from startups to research labs, and she also pairs technical depth with a creative eye from dual degrees in photography and computerized image processing. Colleagues know her for turning complex text-processing problems into reproducible pipelines and for mentoring students in deep learning for NLP. Based in France, she continues to pursue cross-disciplinary projects that combine language technologies and real-world data.
11 years of coding experience
13 years of employment as a software developer
Master of Arts (MA) Photography & Video, Master of Arts (MA) Photography & Video at „George Enescu” National University of Iași
Master Software Engineering, Master Software Engineering at Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi
Doctor of Philosophy (Ph.D.) Information Extraction Machine Learning Natural Language Processing, Doctor of Philosophy (Ph.D.) Information Extraction Machine Learning Natural Language Processing at Université Paris-Saclay
English, French, Romanian