Michal Ziemski joined the World Intellectual Property Organization (WIPO) as Senior Machine Learning Specialist in 2018 and is now involved in various AI projects to support WIPO’s IP Administration.
He has a degree in Computer Science and in Management, and profound experience in NLP, MT, CAT and terminology. His current focus at WIPO is Machine Translation and neural based NLP solutions. Michal has also been the author of the publication of the first official corpus of United Nations documents.
Previously, Michal worked for several years in one of Europe’s biggest data center before he started with the United Nations in New York in 2008 where he focused on multilingual systems and content. His later focus became translation related systems, in particular terminology, CAT and machine translation. At WIPO, beyond NMT, he is now involved in various projects on classification and speech recognition.
Michal speaks fluently English, French, German and Polish, and has a sound command of Spanish.