Summary
Sina Ahmadi is a postdoctoral researcher and engineer specializing in NLP for low-resource and under-represented languages, combining computational methods with linguistic knowledge to make language technology more inclusive. With over a decade of research experience across institutions like University of Zurich, George Mason University, and Stanford’s SILICON fellowship, he brings a solution-oriented and collaborative approach to applied research. His work spans practical NLP, linguistic linked data, and knowledge graphs—an unusual mix that helps bridge data-driven models with formal linguistic insights. Trained in machine learning and computational linguistics (PhD, University of Galway; MS, Université Paris Cité), he actively seeks cross-disciplinary collaborations to turn linguistic theory into deployable tools for marginalized language communities.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Galway
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Université Paris Cité
Master of Arts - MA, Computational Linguistics, Master of Arts - MA, Computational Linguistics at Université Sorbonne Nouvelle
French, English, Kurdish, Greek, German, arabe classique