Jungo Kasai


Jungo Kasai is a computer scientist specializing in natural language processing (NLP), artificial intelligence (AI), and machine learning. Jungo is currently a Ph.D. candidate in the Paul G. Allen School of Computer Science at the University of Washington, Seattle. His research works have been published in premier venues, receiving a best paper award in NAACL 2022. His long-term goal is to advance the democratization of NLP and AI knowledge, where people with diverse skill levels and research backgrounds can: build, use, analyze, and evaluate models; collaborate to solve real-world problems; and accelerate advances in NLP and AI.

He has industrial internship experiences at IBM Research, Facebook AI, Microsoft AI, and the Allen Institute for Artificial Intelligence.

Prior to joining the University of Washington, he received a B.S. in statistics from Yale University in 2017. He has won many honors and awards, including the IBM Ph.D. fellowship, the Masason foundation scholarship, and the Funai overseas fellowship. In 2015, he studied abroad in Tsinghua University, Beijing under the support of the Richard U. Light fellowship. He is fluent in Japanese, English, and Mandarin Chinese.