Zhiwei Yun

Zhiwei Yun (Chinese: 恽之玮; pinyin: Yùn Zhīwěi;[1] born 1982 in Changzhou, China) is a Professor of Mathematics in Yale University specializing in number theory, algebraic geometry and representation theory, with a particular focus on the Langlands program. Before moving to Yale University in 2016, he held assistant and associate professorships at Stanford University from 2012 to 2016 and was a C. L. E. Moore instructor at Massachusetts Institute of Technology from 2010 to 2012.

As a high schooler, Yun participated in the International Mathematical Olympiad; he received a gold medal with a perfect score in 2000.[2] Yun received his bachelor's degree from Peking University in 2004. In 2009, he received his Ph.D. from Princeton University in 2009, under the direction of Robert MacPherson.[3][4]

Yun was awarded the SASTRA Ramanujan Prize in 2012 for his "fundamental contributions to several areas that lie at the interface of representation theory, algebraic geometry and number theory."[5]

His collaborations with Wei Zhang, Xinyi Yuan and Xinwen Zhu have received attention in publications such as Quanta Magazine and Business Insider.[6][7] In particular, his work with Wei Zhang on the Taylor expansion of L-functions is "already being hailed as one of the most exciting breakthroughs in an important area of number theory in the last 30 years."

Publications (selected)

References

  1. "Zhiwei Yun 恽之玮". Stanford University. Retrieved 4 October 2016.
  2. https://www.imo-official.org/participant_r.aspx?id=5950
  3. "Zhiwei Yun" (PDF). Stanford University. Retrieved 2 September 2016.
  4. "Zhiwei Yun", Mathematics Genealogy Project. Retrieved on 4 December 2016.
  5. "ZHIWEI YUN TO RECEIVE 2012 SASTRA RAMANUJAN PRIZE". Sastra University. Retrieved 2 September 2016.
  6. "Math Quartet Joins Forces on Unified Theory", Quanta Magazine. Retrieved on 4 December 2016.
  7. "Math Quartet Joins Forces on Unified Theory", Business Insider. Retrieved on 4 December 2016.
This article is issued from Wikipedia - version of the 12/4/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.