Robin Quillivic is a Paris-based research engineer and NLP specialist with a PhD focused on detecting and characterizing mental health pathologies, notably PTSD, using computational psycholinguistic profiling. With nine years of mixed academic and industry experience—including roles at CNRS, Institut des Systèmes Complexes, and a data science stint at StarClay—he bridges rigorous research and practical NLP deployment. His work spans topic modeling, large-scale text analysis (300k+ documents), and building demonstrators and web tools using Flask/Docker, reflecting both experimental depth and production awareness. A bilingual researcher with international research experience (Georgia Tech) and cross-disciplinary training in applied mathematics and sociology, he brings quantitative rigor, human-centered insight, and a proven track record of turning clinical language research into reproducible tools.
9 years of coding experience
2 years of employment as a software developer
Two-year undergraduate studies, maths and physics, Two-year undergraduate studies, maths and physics at Lycée Massena
Bachelor's degree, Sociology and ethnology, Bachelor's degree, Sociology and ethnology at Université de Strasbourg
Master in Engineering, Applied Mathematics, Master in Engineering, Applied Mathematics at Ecole centrale de Lille
Master 2, Applied Mathematics, Validation de deux modules, Master 2, Applied Mathematics, Validation de deux modules at Université de Lille - sciences et technologies
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Université Lille 1 Sciences et Technologies
this repo is a wrapper of different NLP libraries into a uniform pipeline object. That will make easy to use them all in one project or to compare them to each other.
Contributions:4 PRs, 9 pushes, 2 branches in 4 days
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