Summary
Pablo Fabo is a multilingual computational linguist and research fellow with eight years of experience applying NLP to digital humanities, machine translation, and commercial text-mining solutions. Currently splitting his time between CiTIUS and Université de Strasbourg, he builds prototypes and linguistic resources—covering entity recognition, keyphrase extraction, event extraction and MT—while teaching language technologies and web programming. He programs primarily in Python and PHP and has a track record of improving practical tools such as tweet normalization, phonological similarity databases for subtitling, and domain-specific extraction pipelines. Fluent in English, Spanish, French, German and Basque, he combines rigorous academic research (PhD ENS) with applied industry work across Europe and Canada. An often-overlooked strength is his ability to bridge grant coordination and hands-on system development, turning research ideas into deployable prototypes.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Natural Language Processing and Digital Humanities, Doctor of Philosophy - PhD, Natural Language Processing and Digital Humanities at Ecole normale supérieure
B.A., English Philology, Spanish, B.A., English Philology, Spanish at EHU
M.A., Linguistics, M.A., Linguistics at McGill University
English, Spanish, French, German, Basque