Conference on Empirical Methods in Natural Language Processing · 2025
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Resume (English only)
Academic Achievements
Implemented research papers, developed innovative ideas, and released awarded open-source contributions.
Research Experience
Worked as a Sr. Data Scientist at Quantmetry in the NLP research and innovation team for five years, automating and optimizing processes across large companies. As a young researcher, conducted cutting-edge research, communicated during top peer-reviewed NLP conferences.
Education
Completed his Ph.D. within the laboratory of formal linguistics at Paris University, contributing to innovative research at the intersection of computational linguistics and statistical learning.
Background
An engineer aiming to advance the future of AI by bridging research and engineering innovations into creating safe, reliable, efficient, and scalable products. Has held both academic and industry roles, providing a unique perspective on translating technical expertise into solutions for complex problems.