Summary
Dongyeop Kang is an assistant professor at the University of Minnesota with 11 years of research and engineering experience building human-centered language technologies. He completed a Ph.D. in Computer Science at Carnegie Mellon and a postdoc at UC Berkeley, and has interned or collaborated with leading industry labs including Facebook AI, Microsoft Research, AI2, and IBM. His work bridges rigorous academic NLP research and practical system-building, informed by early industry stints at Naver and Oracle Labs and by an alternative military service period spent doing research at KAIST. Known for combining deep ML foundations with user-centric perspectives, he leads MinnesotaNLP and contributes to advancing accessible language tools.
11 years of coding experience
10 years of employment as a software developer
Seoul Science High School
Doctor of Philosophy (Ph.D.), Computer science, Doctor of Philosophy (Ph.D.), Computer science at Carnegie Mellon University
Bachelor’s Degree, Computer Science Engineering, Bachelor’s Degree, Computer Science Engineering at Korea Advanced Institute of Science and Technology
Korean, English