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KEY QUALIFICATIONS
&
SKILLS
• 9+ years academic experience in statistics, bioinformatics and
novel biotechnologies
• 3+ years project experience in microarray analysis (Affymetrix
GeneChip, conventional spotted microarrays)
• 1+ years project experience in genome sequencing analysis
• Versed Tools: Perl, R, SAS/JMP, HTML/CGI, SQL
• Experienced Tools: C++, Phred-Phrap, SPSS
• Language: Chinese Mandarin (native), English (good), Japanese
(beginner)
• Published and submitted 3+ papers on scientific journals
WORKING/PROFESSIONAL
EXPERIENCE
l
Graduate
Student, NC State University, Raleigh, NC (08/2005-Present)
Sample
projects:
u
Web
tool Design: Arabidopsis Tagging (V.1.0) (http://www.arabidopsislocalizome.org/)
Database, algorithms, and query interface developed to automatically
pick best available BACs and primers required recombineering-based
gene tagging for Arabidopsis genes
u
Fungal genome sequences assembly and annotation, discovery and
analysis of complete gene sets from major plant pathogenic and
industrially important fungal species
u
Analysis and functional classification of transcripts from the
nematode Meloidogyne incognita
Contig
assembly and clustering, BLASTX/TBLASTX, functional assignments (GO
and KEGG)
u
Statistical consulting: split-split plot model with repeated
measurements to evaluate herbicides in turfgrass systems.
Analysis of
experimental design, model selection, analysis of variance, LS mean
estimation, test of fixed effects
u
Longitudinal analysis of QT interval prolongation of a new drug
which might cause cardiac arrhythmias.
Covariance
structure selection, staurated model and polynomial models
comparison, confidence bounds prediction
l
Research Assistant-Capitalbio Corporation,
Beijing, China
(http://www.capitalbio.com/)
(09/2002-07/2005)
u
Analysis of genome-wide
oligonucleotide microarray data sets
Data
cleaning and transformation, power analysis calculation, non-linear
regression (Loess), variability quantification, parametric and
non-parametric statistics, Distance measure, principal component
analysis, hierarchical clustering, construction of consensus trees
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