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Diyi Yang

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Diyi Yang
Alma materCarnegie Mellon University (Ph.D., 2019),
Shanghai Jiao Tong University (B.S., 2013)
AwardsForbes 30 Under 30 (2021)
NSF CAREER Award (2022)
Scientific career
FieldsNatural Language Processing, Computational Linguistics, Computational social science, Social computing
InstitutionsStanford University (2022–),
Georgia Tech (2019–2022)
Doctoral advisorRobert E. Kraut,
Eduard Hovy
Websitenlp.stanford.edu/~diyiy/

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[1] to build more socially-aware language technologies,[2] including user-centered text generation, and NLP for limited data settings[3][4] like dialectal variation and low-resourced languages.[5]

Biography

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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.[6]

Recognition

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Diyi Yang is a Sloan Research Fellow,[7] Kavli Fellow,[8] and Microsoft Research Faculty Fellow.[2] In 2020, Yang was named one of IEEE AI's 10 to Watch,[9] and in 2021, she was awarded Samsung AI Researcher of the Year,[10] Intel Rising Star,[11] and was listed in the Forbes 30 Under 30 for Science.[12]

References

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  1. ^ "Diyi Yang". Forbes. Retrieved February 20, 2024.
  2. ^ a b "Faculty Fellowship - Microsoft Research". Microsoft. Archived from the original on May 11, 2023. Retrieved February 20, 2024.
  3. ^ "Diyi Yang". Simons Institute for the Theory of Computing. Retrieved February 20, 2024.
  4. ^ "Tutorials at ACL 2022". Archived from the original on May 21, 2022. Retrieved February 20, 2024.
  5. ^ Potts, Christopher. "Podcast episode: Diyi Yang". CS224U: Natural Language Understanding. Retrieved February 20, 2024.
  6. ^ Yang, Diyi. "SALT Lab".
  7. ^ "2024 Sloan Research Fellows". Sloan Foundation. February 20, 2024.
  8. ^ "2023 Kavli Fellows - News Release". National Academy of Sciences. Retrieved February 20, 2024.
  9. ^ Subrahmanian, V.S. (2020-11-01). "The Future of AI: AI's 10 To Watch". IEEE Intelligent Systems. 35 (6): 3–6. doi:10.1109/mis.2020.3033683. ISSN 1541-1672.
  10. ^ "[Samsung AI Forum 2021] Day 1: AI Research for Tomorrow". Samsung. Archived from the original on 2021-11-01.
  11. ^ "Intel® 2021 Rising Star Faculty Award Recognizes 10 Leading Early-Career Professors". Intel. Archived from the original on 2021-09-14.
  12. ^ Knapp, Alex; Jennings, Katie; Rosenbaum, Leah (eds.). "Science - Forbes 30 Under 30 2021". Forbes. Archived from the original on 2020-12-01.
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