T. Tony Cai

Tianwen Tony Cai (Chinese: 蔡天文; pinyin: Cài Tiānwén; born March, 1967) is a Chinese statistician. He is the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He is also professor of Applied Math & Computational Science Graduate Group, and associate scholar at the Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania. In 2008 Tony Cai was awarded the COPSS Presidents' Award.

T. Tony Cai
In this Chinese name, the family name is Cai.



Early life and education

Cai was born in Rui'an, Wenzhou, Zhejiang, China. In 1986, he graduated from the Department of Mathematics, Hangzhou University (previous and current Department of Mathematics, Zhejiang University), at 18 years old.[1] In 1989, he then received an M.Sc. from Shanghai Jiao Tong University and in 1996, earned a PhD from Cornell University[2]

Career

Tony Cai was appointed the Dorothy Silberberg Professor at the Wharton School of the University of Pennsylvania from July 1, 2007 [3] to July 31, 2018 and has been the Daniel H. Silberberg Professor at Wharton since August 1, 2018. Cai has been the Vice Dean of the Wharton School since August 1, 2017.

Tony Cai's research focuses on high-dimensional statistics, statistical machine learning, large-scale inference, nonparametric function estimation, functional data analysis, and statistical decision theory, and applications to genomics, compressed sensing, chemical identification, medical imaging, and financial engineering.[4]

Tony Cai was elected a Fellow of the Institute of Mathematical Statistics in 2006.[5][6]

In 2008, he received the COPSS Presidents’ Award from the Committee of Presidents of Statistical Societies.

In 2009, Tony Cai was named the Medallion Lecturer at the Institute of Mathematical Statistics.[7]

In 2017, he was elected to the presidency of International Chinese Statistical Association (ICSA).

Additional affiliations and memberships

Tony Cai was a co-editor of the leading statistics journal, the Annals of Statistics from 2010 to 2012. He has also served on editorial boards of several other journals, including Journal of the American Statistical Association (JASA), Journal of the Royal Statistical Society Series B (JRSSB), Statistics Surveys, and Statistica Sinica.[8]

Honors and awards

Personal life

Cai has four brothers and one sister. His sister Tianxi Cai is the John Rock Professor of Population and Translational Data Sciences in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. She is also a professor at Harvard Medical School. Topics in her research include biomarkers, personalized medicine, survival analysis, and health informatics. His brother Tianwu Michael Cai, majored in physics (PhD, Rochester) is a vice-president of Goldman Sachs. Tony Cai has two children, a son and daughter.

References
  1. 瑞安学子蔡天文的求学成才路 - 温州文明网
  2. 求是新闻网 - 校友蔡天文荣获国际统计学“考普斯”奖
  3. Trustees of the University of Pennsylvania May 15, 2007 Resolution Faculty Appointments, Leaves and Promotions. Accessed December 25, 2009
  4. http://www-stat.wharton.upenn.edu/~tcai/Biosketch.html
  5. Reports of IMS Standing Committees 2006. Institute of Mathematical Statistics. Accessed December 25, 2009
  6. Introducing the 2006 IMS Fellows. IMS Bulletin, vol. 35, no. 7, August/September 2006, p. 6 Election citation: for pioneering contributions to the theory and practice of nonparametric function estimation; for the introduction of innovative blockthresholding schemes; and for important contributions to the theory of adaptive inference.
  7. JSM Keynote Speakers Boast Impressive Backgrounds. American Statistical Association Newsletter, no. 383, May 2009, pp. 32-36
  8. Medallion lecture preview: Tony Cai. Archived 2010-05-07 at the Wayback Machine IMS Bulletin, vol. 38, no. 5, June 2009, p. 6
  9. Presidents’ Award:Past Award Recipients. Archived 2015-07-01 at the Wayback Machine Committee of Presidents of Statistical Societies. Accessed December 25, 2009. Award citation: For fundamental and wide-ranging contributions to the mathematics, theory and methods of statistics, including the theory and application of wavelets, block thresholding in wavelet regression, optimality theory, adaptation in nonparametric function estimation, confidence intervals in small samples, and methods for false discovery rate control; for applications to chemical identification, medical imaging and microarray data analysis; and for outstanding contributions to the statistical profession through extensive editorial work and mentorship of students.
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