Chinese computer scientist
Diyi Yang is a Chinese computer scientist and assistant professor of computer science at Stanford University. Her research combines linguistics and social sciences with machine learning to build more socially-aware language technologies, including user-centered text generation, and NLP for limited data settings like dialectal variation and low-resourced languages.
Biography.
Diyi Yang attended Shanghai Jiao Tong University for her undergraduate studies, earning a Bachelor of Science degree in Computer Science in July 2013. She received an M.S. (May 2015) and Ph.D. (February 2019) degrees from Carnegie Mellon University Language Technologies Institute. For her dissertation work, Yang developed algorithms for understanding computational social roles by bringing together machine learning techniques with sociology and social psychology. Upon completing her PhD, Yang became an assistant professor at the Georgia Tech College of Computing. In 2022, Yang moved to Stanford University where she now leads the Social and Language Technologies (SALT) Lab.
Recognition.
Diyi Yang is a Sloan Research Fellow, Kavli Fellow, and Microsoft Research Faculty Fellow. In 2020, Yang was named one of IEEE AI's 10 to Watch, and in 2021, she was awarded Samsung AI Researcher of the Year, Intel Rising Star, and was listed in the Forbes 30 Under 30 for Science.
References.
 ;templatestyles src="Reflist/styles.css" / ;