Jun S. Liu Explained

Jun Liu
Birth Date:26 April 1965
Fields:Statistical Machine Learning
Monte Carlo Methods
Bayesian statistics
Computational biology
High-dimensional statistics
Workplaces:Harvard University
Stanford University
Education:Peking University
Rutgers University
University of Chicago
Thesis Title:Correlation Structure and Convergence Rate of the Gibbs Sampler
Thesis Url:https://www.worldcat.org/oclc/498906088
Thesis Year:1986
Doctoral Advisor:Wing Hung Wong
Augustine Kong
Doctoral Students:
Awards:NSF CAREER Award (1995)
COPSS' Award (2002)
Morningside Gold Medal (2010)
Pao-Lu Hsu Award (2016)
Jerome Sacks Award (2017)
Mitchell Prize (2000)
IMS Medallion Lecture (2002)
Bernoulli Lecture (2004)
IMS Fellow (2004)
ASA Fellow (2005)
ISCB Fellow (2022)
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Jun S. Liu (; born 1965) is a Chinese-American statistician focusing on Bayesian statistical inference, statistical machine learning, and computational biology. He was assistant professor of statistics at Harvard University from 1991 to 1994. From 1994 to 2004, he was Assistant, Associate, and full Professor of Statistics (promoted while being on leave) at Stanford University. Since 2000, Liu has been Professor of Statistics in the Department of Statistics at Harvard University and held a courtesy appointment at Harvard T.H. Chan School of Public Health.

Liu has written many research papers and a book[2] about Markov chain Monte Carlo algorithms, including their applications in biology. He is also co-author of several early software on biological sequence motif discovery.: MACAW, Gibbs Motif Sampler, BioProspector, Motif regressor, MDScan, Tmod; on genetic data analysis: BLADE, HAPLOTYPER, PL-EM, BEAM; and more recently on, genome structure, gene expression and cell type analysis: HiCNorm, BACH, CLIME, RABIT, CLIC, TIMER, and PhyloAcc.

Education

Liu received his B.Sc. from Peking University in 1985. He was a PhD candidate of mathematics at Rutgers University from 1986 to 1988, and obtained his Ph.D. in statistics under the supervision of Wing Hung Wong and Augustine Kong from the University of Chicago in 1991.[3]

Career and research

Liu was the recipient of the 2002 COPSS Presidents' Award,[4] which is arguably the most prestigious award in the field of statistics.He also won the 2010 Morningside Gold Medal[5] in Applied Mathematics; and awarded the 2016 Pao-Lu Hsu award by the International Chinese Statistical Association (given every three years to an individual under age 50).[6]

Liu was an Institute of Mathematical Statistics (IMS) Medallion Lecturer in 2002 and a Bernoulli Lecturer in 2004. He was elected a fellow of the Institute of Mathematical Statistics in 2004,[7] fellow of the American Statistical Association in 2005,[8] and fellow of the International Society for Computational Biology in 2022.[9]

Notes and References

  1. Xiaole Shirley. Liu. 2002. Discovery of transcription factor binding sites using computational statistics. PhD. Stanford University. 84915802. .
  2. Liu, Jun S. Monte Carlo Strategies in Scientific Computing. New York: Springer, 2001.
  3. "Home Page for Jun Liu," Faculty of Arts and Sciences, Harvard University, accessed May 29, 2011, https://sites.harvard.edu/junliu/.
  4. "Committee of Presidents of Statistical Societies: Presidents' Award," given annually and jointly to one individual under 41, worldwide, by the five leading statistical societies in the North America: American Statistical Association, Institute of Mathematical Statistics, East Region of International Biometric Society, West Region of IBS, and Statistical Society of Canada. Past and present awardees can be found here COPSS Presidents' Award.
  5. "Morningside Medal", given every three years to one individual of Chinese descent at the International Congress of Chinese Mathematicians.
  6. "Pao-Lu Hsu Award", by ICSA, past recipients can be found here.
  7. "IMS Fellows," Institute of Mathematical Statistics, accessed June 5, 2011, http://www.imstat.org/awards/honored_fellows.htm .
  8. "ASA Fellows," American Statistical Association, accessed June 5, 2011, http://www.amstat.org/careers/fellowslist.cfm .
  9. https://www.iscb.org/iscb-news-items/4861-april-28-2022-iscb-congratulates-and-introduces-the-2022-class-of-fellows "ISCB fellow," International Society for Computational Biology