Biography:Jianqing Fan

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Jianqing Fan
范剑青
File:Jianqing Fan 范劍青 Academia Sinica portrait.jpg
Born1962 (age 63–64)
Putian, Fujian, China
EducationFudan University (BS)
University of California, Berkeley (PhD)
AwardsCOPSS Presidents' Award (2000)
Guggenheim Fellow (2009)
Academician (2012)
Guy Medal in Silver (2014)
Scientific career
FieldsStatistics
InstitutionsPrinceton University
Fudan University
University of North Carolina
Academia Sinica
Doctoral advisorsDavid Donoho, Peter Bickel
Other academic advisorsPeter Bickel
Doctoral students

Jianqing Fan (Chinese: 范剑青; pinyin: Fàn Jiànqīng; born 1962) is a statistician, financial econometrician, and data scientist. He is currently the Frederick L. Moore '18 Professor of Finance,[1] Professor of Operations Research and Financial Engineering, Professor of Statistics and Machine Learning, and a former chairman of Department of Operations Research and Financial Engineering (2012–2015) and a former director of Committee of Statistical Studies (2005–2017) at Princeton University, where he directs both statistics lab and financial econometrics lab since 2008.[2]

Career

Fan is a co-editor of Journal of the American Statistical Association (since 2023) and a department of finance editor of Management Science (since 2026). He was the co-editor of The Annals of Statistics (2004–2006), a co-editor of Econometrics Journal (2007–2012), a co-editor and managing editor of Journal of Econometrics (2012–2018), co-editor of Journal of Business & Economic Statistics (2018–2021) and an editor of Probability Theory and Related Fields (2003–2005), as well as a member of the editorial boards of journals including the Journal of the American Statistical Association, Annals of Statistics, Econometrica, Management Science and Journal of Financial Econometrics. He has served as President of the Institute of Mathematical Statistics (2006–2009), and as President of the International Chinese Statistical Association (2008–2010).

After receiving his Ph.D. in Statistics from the University of California, Berkeley in 1989, he joined the statistics faculty at the University of North Carolina at Chapel Hill (1989–2003) and the University of California at Los Angeles (professor, 1997–2000). He was then appointed Professor of Statistics and Chairman at the Chinese University of Hong Kong (2000–2003), and as a professor of Operations Research and Financial Engineering (2003–) and Frederick L. Moore '18 Professor in Finance (2006–) at Princeton University. He directed the Committee of Statistical Studies at Princeton (2005–2017) and chaired the Department of Operations Research and Financial Engineering (2012–2015).

He has coauthored four well-known books–Local Polynomial Modeling (1996), Nonlinear time series: Parametric and Nonparametric Methods (2003), Elements of Financial Econometrics (2015), and Statistical Foundations of Data Science (2020)–and a monograph Spectral Methods for Data Science: A Statistical Perspective, and authored or coauthored over 300 articles on high-dimensional statistics, machine learning, AI, finance, economics, computational biology, neural networks, semiparametric and non-parametric modeling, nonlinear time series, survival analysis, longitudinal data analysis, and other aspects of theoretical and methodological statistics and machine learning.

He has received various awards in recognition of his work on statistics, financial econometrics, and computational biology. These include the 2000 COPSS Presidents' Award, and an invitation to speak at the 2006 International Congress of Mathematicians. In 2026, Fan was elected to the U.S. National Academy of Sciences.

Fan has many affiliations within Princeton University and worldwide. He has been on the scientific advisory boards at various institutions, including the Institute of Economics, Academia Sinica[3] (08–19), Academia Sinica, Statistical and Applied Mathematical Sciences Institute[4]{{page needed|date=June 2021} athematical Sciences (11–16) at National University of Singapore.

Honors and awards

  • COPSS Presidents' Award, 2000, Committee of Presidents of Statistical Societies[5]
  • Invited speaker at the 2006 International Congress of Mathematicians
  • Humboldt Research Awards, Alexander von Humboldt Foundation, 2006
  • Morningside Gold Medal of Mathematics, 2007[6]
  • Guggenheim Fellow, 2009[7]
  • Academician (Chinese: 中央研究院院士), Academia Sinica, 2012[8]
  • Pao-Lu Hsu Prize, 2013[9]
  • Guy Medal in Silver, 2014
  • Noether Senior Scholar Award, 2018[10]
  • Le Cam Award & Lecture, 2021[11]
  • Wald Memorial Award and Lectures, 2025[12]
  • Fellow, American Association for Advancement of Science
  • Fellow, Institute of Mathematical Statistics
  • Fellow, American Statistical Association
  • Fellow, Society of Financial Econometrics
  • Elected Member, International Statistical Institute

References

  1. ↑ "Faculty | Operations Research and Financial Engineering". https://orfe.princeton.edu/people/faculty. 
  2. ↑ "Princeton University - Home". https://www.princeton.edu/main/. 
  3. ↑ "中央研究院經濟研究所". http://www.econ.sinica.edu.tw/index.php?foreLang=en. 
  4. ↑ Statistical and Applied Mathematical Sciences Institute
  5. ↑ "COPSS Awards Recipients". http://www.imstat.org/awards/copss_recipients.htm. 
  6. ↑ "Prof. Fan receives Morningside Gold Medal of Applied Mathematics". 2007-12-19. http://orfe.princeton.edu/news/fan-receives-medal. 
  7. ↑ "Prof. Jianqing Fan receives Guggenheim Fellowship Award". 2009-04-08. http://orfe.princeton.edu/news/guggenheim-fellowship-fan. 
  8. ↑ "院士會議". http://academicians.sinica.edu.tw/02.php?func=22&_op=?ID:H077. 
  9. ↑ "ICSA Awards Recipients – International Chinese Statistical Association". https://www.icsa.org/awards/icsa-awards-recipients/. 
  10. ↑ "Gottfried E. Noether Awards". https://www.amstat.org/ASA/Your-Career/Awards/Gottfried-E-Noether-Awards.aspx. Retrieved 2021-06-06. 
  11. ↑ "Institute of Mathematical Statistics | Honored Special Awards & Lecturers Recipient List". https://imstat.org/ims-special-lectures/honored-special-lecturers-recipient-list/. 
  12. ↑ Wald Memorial Award and Lectures




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