Education
and Experiences
- July
00 – Present: Professor of Statistics, Dept of Stat, Harvard University.
- Sep
01 – Present: Professor of Biostatistics (secondary), HSPH
- Nov
00 – Nov 02: Guest Professor, Peking
University, (see photos
here)
- July
03 – Sep 03: Professor (on leave), Dept of Stat, Stanford University
- Sep
00 – Jun 03: Associate Professor (on leave), Dept of Stat, Stanford University.
- Aug
94 – Aug 00: Assistant Professor, Dept of Stat, Stanford University.
- May
96 – Aug 02: Associate Editor, J Amer Statist
Assoc
- July
99 – Present: Associate Editor, Statistica Sinica
- Dec
99 – Aug 02: Associate Editor, Biometrics
- Jan
98 – Dec 98: Visiting Faculty, Department
of Statistics, UCLA.
- Mar
98 – May 98: Visiting Faculty, Dept.
of Math, NUS.
- July
91 – Dec 94: Assistant Professor, Dept. of Stat., Harvard
University.
- July
93 – Sep 93: Visiting Faculty, Nat'l
Center. Biotech. Info., NIH.
- Sep
88 – Jun 91: Ph.D., Statistics,
The University of Chicago.
- Sep
86 – Jun 88: Ph.D program in math, Rutgers University
- Aug
81 – July 85: B.S. in Math., Peking
University, Beijing, China.
Awards
and Honor
- The
2002 COPSS Presidents'
Award. Given annually and jointly by five leading statistical
societies in the north
America to a young
individual (under age 40) in recognition of outstanding contributions to
the profession of statistics. See my award
acceptance speech and the list of past COPSS
Award recipients.
- The
2002 IMS Medallion Lecturer. Each year IMS nominates 8 Medallion lectures
(also known as Special Invited Lectures) in fields across the IMS's
subject range for presentations in different statistical meetings.
- The
2000 Mitchell Prize
for the Best Bayesian Application Paper, 2000.
- Terman
Fellow, Stanford University, 1995-1998.
- CAREER
AWARD, National Science Foundation, 1995-1998.
- AMS-SIAM
selection program winner, Beijing, 1985.
Research Interests
- Statistical
missing data problems, imputation methodology.
- Gibbs
sampling and other MCMC
methods, rate
of convergence.
- Markov
structure, graphical models (software BUGS),
and genetics.
- Image reconstructions: PET,
SPECT, etc.
- Bayesian
methodology; Even Bill Gates talks about
Bayesian ideas!!
- Nonparametric
hierarchical models, model selections and testings.
- Large-scale
computation and optimization, e.g., VLSI design; Dynamic systems; Computer
vision.
- Monte
Carlo filters, Sequential importance sampling and resampling.
Click the button to see an illustration of the
SIS filter.

Click on the cover of my new book on Monte Carlo to get a copy from
Amazon.com


(JASA 1999,
94, 1-15)
(Protein Sci. 1995, 4,
1618-32)
Main Collaborators' Websites
Computational Biology Softwares
The following downloadable softwares
for analyzing biopolymer sequence data have been developed by my collaborators
and myself. Please cite the related articles if you use them in your research.
They are listed chronologically:
- MACAW.
A self-extracting Window's software developed jointly with people at NCBI.
Search and align a subtly conserved single block-motif among multiple
sequences, assuming one occurrence in each sequence. See its companion
articles published in Science (Lawrence
et al. 1993) and J. Am. Statist. Assoc. (Liu 1994).
- Gibbs
Motif Sampler. (Use command "tar -xvf gibbs9_95.tar" after
the download.) A UNIX (Sun OS) software to search for multiple motifs with
unknown number of repeats in multiple protein sequences. Its companion articles were published in J. Am.
Statist. Assoc. (Liu et al. 1995) and Protein Sci. (Neuwald et
al 1995). A server of the Motif Sampler for both discovering DNA
regulatory binding sites and protein sequence motifs can be accessed from the Wadsworth Lab
Bioinformatics Center directed by Dr. Chip Lawrence.
- PROBE.
(Use command "tar -xvf probe.tar" after the download.) A UNIX
(Sun OS) software tool for block-based multiple protein sequence alignment
and for database search to detect remote protein homology. Its companion
articles appeared in Nucl. Acid Res. (Neuwald
et al. 1997) and J. Am. Statist. Assoc. (Liu et al. 1999)
- Bayesian
Aligner. A Bayesian pairwise alignment tool; also called 'Bayesian Phylogenetic Footprint.' Its
companion article appeared in Bioinformatics
- BioProspector. An
improved web-interactive algorithm for finding gene regulatory binding
motifs. See the companion article published
in the Proceedings of Pacific Symposium on Biocomputing.
- BLADE
v2. Bayesian LinkAge DisEquilibrium mapping algorithm based on Liu et al. (2001) published in Genome
Research . This executable program was produced by Dr. Xin Lu with a
companion publication Lu,
Niu and Liu (2003) in the same journal.
- HAPLOTYPER
Users’ Documentation for SNP haplotype reconstruction based on
the Partition-Ligation method (Niu
et al. 2002) published in Am. J. Hum. Genet.
- PL-EM for
SNP haplotype reconstruction based on the Partition-Ligation method and EM
Algorithm (Qin et al. 2002)
published in Am. J. Hum. Genet.
- EM-DeCODER for
SNP haplotype reconstruction (with Z. Qin and T. Niu)
- MDScan. A
new, fast, and accurate algorithm for finding protein-DNA interacting
sites (gene regulatory binding motifs) from the 5' untranslated sequences
selected by Chromatin-immunoprecipitation microarray (ChIP-array) and
other microarray experiments. Its companion
paper was published in Nature Biotechnology, 2002.
- BMC. A
novel Bayesian algorithm for putative motif clustering, see the companion paper published in Nature
Biotechnology, 2003.
- Motif
Regressor. An efficient algorithm for integrating sequence motif
discovery with measures from mRNA expression microarray or
Chromatin-Immunoprecipitation microarray (ChIP-chip) experiments. Its companion paper was published in Proc. Nat’l Acad. Sci. USA, 2003.
- GMS-MP: Gibbs
Motif Sampler for Paired Correlation Model. See the Zhou
& Liu (2004) in Bioinformatics.
- BioOptimizer:
A Bayesian scoring method for comparing and optimizing regulatory motif
predictions from AlignACE, BioProspector, CONSENSUS, and MEME. Read
details in Jensen
& Liu (2004) in Bioinformatics.
Recent Talks in Slides
Courses I have taught and am Teaching
- Year 1995-1996:
- Year 1996-1997:
- Year 1997-1998:
- Year 1998-1999:
- Year 1999-2000:
- Year 2000-2001:
- Year 2001-2002:
1. STAT 215 (Bioinformatics)
;
2. STAT
171 (Stochastic Processes);
Former
Ph.D. Students:
·
Chiara
Sabatti;
Assistant Professor, Departments of Statistics and Genetics, UCLA.
·
Scott Schmidler; Assistant Professor,
Institute of Statistics and Decision Sciences, Duke University.
·
Yuguo Chen; Assistant Professor,
Institute of Statistics and Decision Sciences, Duke University.
·
Xiaole Liu; Assistant Professor,
Department of Biostatistics and Dana-Farber Cancer Institute, Harvard School of
Public Health.
·
Mayetri
Gupta;
Assistant Professor, Dept Biostatistics, University of North Carolina
·
Tanya
Logvinenko;
Biostatistician, Mass General Hospital, Boston.
·
Shane Jensen; Assistant Professor, Dept
Statistics, Wharton School, University of Pennsylvania
Current Ph.D. Students:
·
Hosung Kang
·
Gopika Goswami
·
Peng Zhang
·
Chenxin Li
Associates
and Postdoctoral fellows:
·
Saunak Sen
(1998-1999. Current: UCSF)
·
Tim Niu (2000-2001. Current: HSPH and Harvard Medical School)
·
Steve Qin (2000-2003.
Current: Dept of Biostat, U of Michigan)
·
Erin Conlon (2000-2003. Current: Dept of Math, U of Mass, Amherst)
·
Haiyan Huang (2001-2003. Current: Dept of Stat, U of California, Berkeley)
·
Xiaobin Dong (2003-2004, Visiting)
·
Xin Lu (2001-2004), Current: Dept of Biostat, Harvard School of Public Health
·
Lei Shen (2003-Present)
·
Ping Ma (2003-Present)
·
Cristian Castillo-Davis (2004-present)
·
Lihua Zou (2004-present)
·
Yu Zhang (2004-present)
Rotation Students:
·
Junni Zhang (2000-2002)
·
Epaminondas Sourlas (2002)
·
Su Ying Quek (2001)
·
Calvin Chiu (2001)
·
Lihua Zou (2003)
·
Qing Zhou (2003)
·
Wei Zhang (2004)
·
Tingting Zhang (2004)
·
Xiaodan Fan (2004)
Selected
Publications and Technical Reports:
· Ten Most
Interesting Papers
· 2004
· 2003
· 2002
· 2001
· 2000
· 1999
· 1998
· 1997
· 1996
· 1995
· 1994
· 1993
· 1992
· 1991
My
Book on Monte Carlo (2001)