Summary
Alp Öktem is a computational linguist and regional researcher based in Barcelona with nine years of experience building speech and language AI for underrepresented and endangered languages. Holding a PhD from Universitat Pompeu Fabra, he has led community-powered data collection and produced production-ready ASR, TTS and MT systems for 15+ languages, including the first neural voice for Catalan. At CLEAR Global and through his own initiatives he has published 20+ datasets and models and integrated APIs used in crisis and development contexts. He combines hands-on engineering—turning zero-resource, messy data into working prototypes—with community engagement that respects cultural context and language stewardship. His portfolio spans projects from Tamazight and Judeo-Spanish to Hausa and Aranese, and he’s partnered with UNICEF, Google, Masakhane and others to make AI linguistically inclusive. Outside of research he’s a practical technologist who drums, bikes and camps, and who values building tools that serve people, not just models.
9 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.), Informatics, Master of Science (M.Sc.), Informatics at Rheinische Friedrich-Wilhelms-Universität Bonn / University of Bonn
Doctor of Philosophy (PhD), Computational Linguistics, Doctor of Philosophy (PhD), Computational Linguistics at Universitat Pompeu Fabra
ERASMUS Exchange student, Computer Science, ERASMUS Exchange student, Computer Science at University of Bath
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Bilkent University
Turkish, English, Spanish, Catalan