Dr. Philipp Koehn

Biography

Philipp Koehn is a professor of computer science recognized worldwide for leading research in applications that develop understanding of data-driven methods to solve long-standing, real-world challenges in machine translation and machine learning. His area of expertise—machine translation, which involves translating text from human languages to computer-readable formats—is essential for addressing the ever-expanding needs of natural language processing and machine learning. Koehn is affiliated with the Whiting School of Engineering’s Center for Language and Speech Processing and the Data Science and AI Institute. He previously held the position of professor and chair of machine translation at the University of Edinburgh’s School of Informatics. Koehn is the author of seminal textbooks in the field, including 'Neural Machine Translation' and 'Statistical Machine Translation'. He holds five patents in machine translation and has received numerous awards, including the Moses prize from the Multilingual Europe Technology Alliance and the International Association for Machine Translation’s Award of Honor in 2015. Koehn's contributions also extend to editorial roles in multiple journals and he is noted for his leadership within the Association for Computational Linguistics (ACL), having served in various capacities including chairing workshops and being named an ACL Fellow in 2024.

Research Interests