Quality Control Years Experience

Xinyu Liu

*** ********* ** *** **, Athens, GA ***05. 706-***-****. **********@*****.***.

●QUALIFICAION

8+ years experience on (Generalized) Linear (Mixed) Model, Experimental Design, Machine Learning

Proficient in R, SAS, MATLAB, Python, Fortran, Linux with 6+ years experience

Excellent in survival analysis, sample size determination, and PK/P D modeling

Integrated background of Statistics, Bioinformatics, Biology

●EXPERIENCE

Intern at Dow AgroSciences through Kelly Services

Dow AgroSciences, Indianapolis May, 2012 -- Aug, 2012

Established a pipeline to automate the quality control and diagnosis for proteomics experiments

Investigated the statistical quality control methodology for proteomics data

Built an R package to evaluate and visualize the quality control metrics

Statistical Consulting Assistant

Statistical Consulting Center, University of Georgia 2010 -- Present

Conducted 15+ projects from different clients. Selected projects:

Conducted survival analysis on breast cancer data

Kaplan-Meier model and Cox proportional hazards model

This resulted in the journal article which has been recently submitted to Molecular Cancer

Estimated the sample size required by an investigation of co -teaching

Designed log-linear model and negative binomial model to analyze large scale genome data

Built predictive models to forecast desire for relocation in rural Georgia by housing characteristics

Support vector machine, neural network, decision tree, logistic regression

Designed GARCH model to test the effects of stock return from environment events

Research Assistant

Laboratory of T.N. Sriram, Department of Statistics, University of Georgia 2010 -- 2012

Have developed algorithms to estimate sample size needed for an SNP classifier (PhD Dissertation)

Built an R package to compute the sample size required by the SNP classifier

Analyzed a multiple-class ROC and VUS of SNP classifier

Laboratory of Animal and Dairy Science, University of Georgia 2008 -- 2009

Forecasted two intake-relative traits from low density SNP panel data (Cooperated with Sanofi Merial)

Developed Python package for SNP imputation and encoding

Designed algorithms to reduce the dimension of the SNP dataset

Forecasted the intake-relative traits from low density SNP penel data

Neural network, support vector machine, principle component analysis, cross validation

Developed an ant colony optimization algorithm to detect Epistatic Interactions for case -control studies

Xinyu Liu

100 Woodstone Dr APT 12, Athens, GA 30605. 706-***-****. **********@*****.***.

Research Assistant

Bioinformatics Department, University of Copenhagen 2005 --2007

Identified and Classified the repeats in non-coding regions of 58 Archaea genomes (Master Thesis)

Designed the algorithm to search the repetitive sequences in non -coding region

Developed a methodology to detect the novel mobile elements and non -coding RNA

Analyzed the Local Mass Fractal Dimension of 1520 Proteins

Designed an algorithm to compute the fractal property of proteins using Bio.PDB package

Forecasted ADMET according to the 2-D and 3-D descriptors of drugs by Machine Learning methods

Designed compartment PK/PD models for concentrations of digoxin in blood serum

Built non-linear mixed models by R

●EDUCATION

Ph.D Candidate in Statistics, University of Georgia, USA Available soon

M.S. in Statistics, University of Georgia, USA 2010

M.S. in Bioinformatics, University of Copenhagen, Denmark 2007

B.S. in Biological Sciences, Fudan University, China 2004

●CERTIFICAION

SAS Base Programming for SAS9 Dec, 2010

SAS Advanced Programming for SAS9 Jan, 2011

●PUBLICATION

X. Liu, Y. Wang, R. Rekaya, and T.N. Sriram. (2012) Sample size determination for classifiers based on

single nucleotide polymorphisms. Biostatistics, 13 (2), 217-227.

X. Liu, T.N. Sriram (2012). The ROC analysis and sample size determination of a multi -class SNP classifier.

Under Preparation.

Y. Wang, S. Joseph, X. Liu, M. Kelley and R. Rekaya. (2012) SNPxGE2: a database for human

SNP-coexpression associations. Bioinformatics, 28(3): 403-410.

Y. Wang, X. Liu, R Rekaya. (2012) AntEpiSeeker2. 0: extending epistasis detection to epistasis -associated

pathway inference using ant colony optimization. Nature Publishing Group 713: 1-10.

M. Davis, X. Liu, et al. An epigenetic regulator, Co-Activator Arginine Methyltransferase 1 (CARM1),

expression and sub-cellular localization is associated with specific breast cancer subtypes study. Submitted

to Molecular Cancer.

Y. Wang, X. Liu, M. Kelley, R. Rekaya. (2011) dMotifGreedy: a novel tool for de novo discovery of DN A

motifs with enhanced power of reporting distinct motifs. Arxiv preprint arXiv:1102.4015

Y. Wang, X. Liu, K. Robbins and R. Rekaya. (2010) AntEpiSeeker: detecting epistatic interactions for

case-control studies using a two-stage ant colony optimization algorithm. BMC Res Notes 3: 117.

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