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Resume_Bill Li

Location:
Overland Park, KS, 66212
Posted:
September 09, 2011

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Resume:

LINGHUI(BILL) LI

**** ***** ****, ********* *, Overland Park, Kansas 66212

Tel: 573-***-****; Email: hu9i47@r.postjobfree.com

SKILLS

Certifications: SAS Certified Advanced Programmer (Jan. 2009), SAS Certified Base Programmer (Aug. 2008)

Experience: Statistician (+1 year), Statistical consultant (1.5 years), SAS programming (4+years), R programming (3+years), Bioconductor (1+year), Perl (1 year), Bioinformatics (1 year), Teaching(4+years), and 6 years of working in laboratory.

Statistics: Experimental Design, Clinical Trials, Multiple Regression, Survival Analysis, Statistical Models, Sample Size and Power Calculations, Longitudinal Data Analysis, Categorical Data Analysis, Principal Component Analysis, Bayesian Methods, Time Series Analysis, Cluster Analysis etc.

Bioinformatics: RNA-Seq, Microarray, CHIP-Chip, and Gene Function Analysis (GO, pathway)etc.

Computer: Base SAS, SAS/Marco, SAS/Graph, SAS/SQL, R, Bioconductor, SPSS, Minitab, Matlab, Perl, Unix/Shell, Origin, and Microsoft Office etc.

EDUCATION

University of Missouri, Columbia, Missouri

Master of Biostatistics in Department of Statistics August 2007 – June 2010

University of Missouri, Columbia, Missouri

Ph.D of Physics in Department of Physics

Published papers in Applied Physics Letter, Dalton Trans., and SPIE etc August 2004 – May 2010

Southeast University, Nanjing, Jiangsu, China

Master of Physics in Department of Physics August 2001 – May 2004

Central China Normal University, Wuhan, Hubei, China

Bachelor of Science in Department of Physics August 1994 – June 1998

POSITIONS AND EMPLOYMENT

Statistician, Stowers Institute for Medical Research, Kansas City, MO June 2010 – July 2011

Provided statistical consulting assistance and data analysis.

Performed statistical testing, modeling, planning, determination of sample sizes etc.

Developed new statistical techniques that better suit the data structure.

Analyzed high-throughput data and identified genes with significant differential expression between samples.

Research Assistant, University of Missouri, Columbia, Missouri June 2008 – June 2010

Investigated stochastic carrier recombination and transport mechanism in semiconductor devices.

Conducted numerical simulations for nonlinear dynamics using SAS and R.

Developed analytical models between response speed and external effects on ZnO devices.

Teaching Assistant, University of Missouri, Columbia, Missouri August 2004 – May 2008

Taught physics lab and graded student lab report for an average of 70 students per semester.

Graded 250 students’ exams and offered additional help on their coursework.

Teaching Lecturer, Southeast University, Nanjing, China June 1998 – July 2004

Developed the lecture and organized class activities independently for 200 undergraduates.

Compiled and published a computer assisted software program (ISBN7-900350-28-4) cooperatively.

CONSULTING EXPERIENCES:

Provided consulting services and analysis to researchers in Stowers Institute for Medical Research.

1. Sue Jaspersen’s lab, Determination of differentially regulated genes between wild and mutant yeasts (R, Bioconductor and Perl programming)

• Found out significant differences in gene expression between samples.

• Determined up-regulated genes and down-regulated genes and their fold change.

• Followed up functional analysis of the genes.

2. Jennifer Gerton’s lab, Extracting and analyzing large-scale quantitative epistatic interaction data for S. pombe (R, Bioconductor and Perl programming)

• Normalized colony sizes to remove edge effect and plate-plate variation.

• Generated high-confidence interaction scores to determine synthetic sick, synthetic lethal or alleviating gene pairs.

• Conducted GO enrichment analysis for the above gene lists.

3. Paul Kulesa’s lab, 3 projects in R, Bioconductor Perl, and SAS programming

a) Compute Normalized Relative Quantities (NRQs) for 8 samples with 85 interest genes relative to control samples in sample maximization experimental setup

• Conducted quality assessment of samples by visualization overall correlation between different samples.

• Average Ct values for valid biological samples.

• Normalized relative quantity (RQ) values between interested samples and control sample for genes.

b) Development of analysis methodology of qPCR data in gene maximization experimental setup

• Extracted 90 genes’ Ct values from 18 samples (mixture of chicken tissues and human cell lines) in 68 plates, and removed bad biological replicates using quantity control.

• Calibrated and normalized relative quantity (CNRQ) of genes in samples.

• Conducted cluster analysis of genes and samples by using their expressions and produced heatmap.

c) Comparing CNRQ values of genes between two Fluidigm and ABI platforms

• Test the equality of CNRQ values of genes.

• Measured the strength of their association.

• Detected outliers and determined their relationship.

4. C. Ron Yu’s lab, Sparseness on wild and mutant mice under different odor concentration environment (SAS programming)

• Built a two-way ANOVA model among sparseness, type of mouse and odor concentration.

• Test whether there is overall different sparseness for the two groups of mice

• Compared sparseness of two mouse groups at the same concentration.

5. Laboratory Animal Services Facility (SAS programming)

a) Sanitation Analysis of 7 mice groups in cages

• Designed an experiment and decide how many cages needed for each group.

• Studied how the density of mouse affects the ammonia level in the cages overtime.

• Given the same density, researched the difference between female mice and male mice overtime.

b) Dynamic Cage Changing

• Utilized Pearson correlation to determine association coefficient among 17 variables.

• Selected variables and built model between them and ammonia level.

• Applied ANOVA method to compare variables’ mean between cage groups.

c) Histology Results with diagnosis

• Investigated relationship between histology scores with diagnosis levels.

d) Breeding Performance with exposure to ammonia level

• Studied whether mice breeder pairs with exposure to ammonia wean significant fewer pups.

6. Reptile & Aquatic Facility, Sample size and power calculations for lizards (SAS programming)

• Produced descriptive statistics of hatching length and hatching mass of lizards and cleaned data.

• Determined sample sizes needed in various half-widths.

PUBLICATIONS

1. Catherine M. Vogelweid, Kathleen A. Zapien, Matthew J. Honigford, Linghui Li, Hua Li, Heather Marshall, “Effects of extended 28 day cage change interval on levels of intracage ammonia, nasal histology and impressions of welfare in CD-1 Mice”.Journal of the American Association for Laboratory Animal Science, Accepted.

2. Linghui Li, Yungryel Ryu, Henry W. White, and Ping Yu, “Optical properties of metal-semiconductor-metal ZnO UV photodetectors”, Linghui Li, Yungryel Ryu, Henry W. White, and Ping Yu. Proc. SPIE, Vol.7603-43(2010).

3. Linghui Li, Yungryel Ryu, Henry W. White, and Ping Yu, “Charaterization of ZnO UV photoconductors on the 6H-SiC substrate”, Proc. SPIE, Vol.7603-58(2010).

4. Linghui Li, Vitaly Gruzde, Ping Yu and J.K.Chen, “Continumm generation in optical fibers for high resolution holographic coherence domain imaging application”, Proc. SPIE, Vol.7197(2009).

5. M. Arif, K. Yang, L. Li, P. Yu, S. Gangopadhyay, M. Förster, U. Scherf, and S. Guha, “Harvesting triplet excitons for application in polymer solar cells”, Applied Physics Letters 94, 063307(2009).

6. Rainer Glaser, Nathan Knotts, Ping Yu, Linghui Li, Meera Chandrasekhar, Christopher Martin, and Charles L. Barnes, “Perfect polar stacking of parallel beloamphiphile layers. Synthesis, structure, and solid-state optical properties of the unsymmetrical acetophenone azine DCA”, Dalton Trans., 2891-2899 (2006).

7. Linghui Li, Hongqi Xiong, Zhai Ya, “Preparation of nanocystalline Sr2FeMoO6 by Sol-Gel method”, Chemical Industry Times, Vol.18, no.7, July 2004

8. Ankang Yang, Zhen Wang, and Linghui Li, “Web courses of Physics experiments”, Jiangsu Video Publication Press. ISBN7-900350-28-4, 2001

CONFERENCES

1. Catherine M. Vogelweid, Kathleen A. Zapien, Matthew J. Honigford, Linghui Li, Hua Li, Heather Marshall, “Effects of Extended 28 Day Cage Change Interval on Levels of Intracage Ammonia and Nasal Histology”, 62nd AALAS National Meeting, 2011. Accepted for Oral Presentation.

2. Linghui Li, and Ping Yu, “Charaterizations of Semiconductor Photodetectors for UV Detection”, Missouri Energy Summit 2009.

3. Linghui Li, Ping Yu, Henry White and Yungryel Ryu, “ZnO p-n Junction Photodetectos”, CLEO/QELS 2007, OSA 1-55752-834-9.

4. Ping Yu, Linghui Li, Jorge A. Lubguban, Henry White and Yungryel Ryu, “Metal- Semiconductor-Metal Photodiode Ultraviolet Detector Based on High Quality ZnO”, API Conf. Proc. Vol. 893, pp.1421-1422 (2006).

5. Linghui Li, M. Gramlich, Ping Yu, and S. Guha, “Magneto-Optical Kerr effect of Ti1-xCoxO2”,.52nd Midwest Solid State Conference, University of Missouri-Columbia, Oct. 8-9, 2005.

6. Rainer Glaser, Nathan Knotts, Ping Yu, Linghui Li, Meera Chandrasekhar, and Christopher Martin, “Achievement of Polar Order with Parallel Beloamphiphile Monolayers. Synthesis, Structure, and Solid-State Optical Properties”, 17th International Conference on the Chemistry of the Organic Solid State , University of California, Los Angeles, CA, July 24-29, 2005.

RELEVANT COUSES

Stat Software & Data Analysis Statistical Inference Intro to Math Statistics

Statistical Consulting Data Analysis 1 Intro Probability Theory

Macroeconomics Biostatistics Applied Longitudinal Analysis

Microeconomics Data Analysis 2 Advanced Statistical Physics

Time Series Analysis Nonparametric Methods Theory of Linear Models

HONORS/AFFILIAION

O.M.Stewart Scholarship, University of Missouri, 2010

Ernest Landen Fellowship, University of Missouri, 2008-2009.

O.M.Stewart Scholarship, University of Missouri, 2007-2008.

Sigma Xi (Honorable academic society to students with high GPA).

ASA- American Statistical Association

OSA- Optical Society of America



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