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Norfolk, VA
March 06, 2018

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**** ********* *** ***, *******, VA, 23504


HIGHLIGHTS 6 years’ SAS and R programming experience (Base, STAT, MACRO, SQL, GRAPH, ODS, REPORT).

Statistical skills: Clinical Trial, Survival Analysis, ANOVA, Regression Analysis, Missing Data Analysis, Logistic Regression, Decision Tree, Mixed Model Analysis, Bayesian Analysis.

3 years’ experience in uploading, organizing, maintaining, and analyzing large-scale datasets, clinical data, medical claim files, and healthcare provider files.

Excellent interpersonal and collaborative skills, attention to both detail and teamwork. EDUCATION

M.S. in Biostatistics

Virginia Commonwealth University, Richmond, VA, August 2012 – July 2016 Thesis: Sensitivity Analysis in Handling Discrete Data Missing at Random in Hierarchical Linear Model via Multivariate Normality

B.A. in Statistics, Mathematics (Dual Major)

University of Virginia, Charlottesville, VA, August 2010 – May 2012 PROFESSIONAL



Research Associate, Office of Institutional Research, October 2016 – Present

Conduct statistical programming to clean, recode, and merge multiple longitudinal and cross- sectional datasets from internal and external sources and perform appropriate statistical analysis.

Perform quality control of the statistical analysis methodology and coordinate review with lead data analyst.

Develop and maintain student retention datasets; create institutional research data files for use in the Banner Operational Data Store (ODS) and Business Intelligence Software.

Produce descriptive reports, including tables, listings, and graphs. VIRGINIA COMMONWEALTH UNIVERSITY, RICHMOND, VA

Research Assistant, Department of Biostatistics, June 2014 – September 2015

Performed longitudinal study on tobacco products (Proc GLM, Proc Genmode, Proc Mixed, Proc MCMC, and Proc Glimmix). Contributed to statistical methods section in preparing for protocols.

Performed survival analysis of skin cancer using medical record data (Cox proportional hazards model).

Performed sensitivity analysis in estimation hierarchical linear model given binary covariates having missing data via multivariate normality (Missing data analysis with data missing at random).

Presented parametric-likelihood based method for estimating the correlation coefficient from bivariate data with right censoring (Maximum likelihood procedure). Research Assistant, Department of Healthcare Policy and Research, June 2013 – June 2014

Provided research assistance and project administration support for health services, economics and policy research projects.

Performed analyses using statistical and econometric methods, conducted literature reviews, prepared for grant proposal submissions, and synthesized existing knowledge.

Created clean data and statistical programs for analytical purposes.

Worked with SEER-Medicare data, medical record, and health survey data.

Created surveys on RedCap, exported data and performed statistical analysis.

Provided supports to physicians and other non-technical professionals. QULIFACTIONS


Software Packages: SAS, R, HLM7 (Hierarchical Linear Model), Jags, Matlab, nQuery, LaTex.

Programming: UNIX Shell Scripting, SQL, DOS.

Applications: MS Office, Excel, and other common productivity packages for Windows.

Language: Native in Mandarin and intermediate Danish.

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