Jun S. Liu

Jun S. Liu (Chinese: 刘军; pinyin: Liú Jūn; born 1965) is a Chinese-American statistician focusing on Bayesian statistical inference and computational biology.[4] Liu is a professor in the Department of Statistics at Harvard University and has written many research papers and a book[5] 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.[1]: 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.

Jun Liu
Born (1965-04-26) April 26, 1965
EducationPeking University
Rutgers University
University of Chicago
AwardsCOPSS' Award (2002);
Morningside Medal (2010);
Pao-Lu Hsu Award (2016).
Scientific career
FieldsStatistical Machine Learning
Monte Carlo Methods
Bayesian statistics
Computational biology
High-dimensional statistics[1]
InstitutionsHarvard University
Stanford University
ThesisCorrelation Structure and Convergence Rate of the Gibbs Sampler (1986)
Doctoral advisorWing Hung Wong
Augustine Kong[2]
Doctoral students
Websitewww.people.fas.harvard.edu/~junliu

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 from the University of Chicago in 1991.[2][6]

Career and research

Liu was the recipient of the 2002 COPSS Presidents' Award,[7] which is arguably the most prestigious award in the field of statistics. He also won the 2010 Morningside Gold Medal[8] 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).[9]

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,[10] fellow of the American Statistical Association in 2005,[11] and fellow of the International Society for Computational Biology in 2022.[12]

References
  1. Jun S. Liu publications indexed by Google Scholar
  2. Jun S. Liu at the Mathematics Genealogy Project
  3. Liu, Xiaole Shirley (2002). Discovery of transcription factor binding sites using computational statistics (PhD thesis). Stanford University. OCLC 84915802. ProQuest 305549892. closed access
  4. Jun S. Liu at DBLP Bibliography Server
  5. Liu, Jun S. Monte Carlo Strategies in Scientific Computing. New York: Springer, 2001. ISBN 978-0-387-95230-7
  6. "Home Page for Jun Liu," Faculty of Arts and Sciences, Harvard University, accessed May 29, 2011, http://www.people.fas.harvard.edu/~junliu/.
  7. "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.
  8. "Morningside Medal", given every three years to one individual of Chinese descent at the International Congress of Chinese Mathematicians.
  9. "Pao-Lu Hsu Award", by ICSA, past recipients can be found here.
  10. "IMS Fellows," Institute of Mathematical Statistics, accessed June 5, 2011, http://www.imstat.org/awards/honored_fellows.htm Archived 2014-03-02 at the Wayback Machine.
  11. "ASA Fellows," American Statistical Association, accessed June 5, 2011, http://www.amstat.org/careers/fellowslist.cfm Archived 2020-04-09 at the Wayback Machine.
  12. "ISCB fellow," International Society for Computational Biology.
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