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Statistical Consultant Resume

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EDUCATION M.S. in Statistics B.S. in Instructional Technology

RELEVANT COURSE WORK

Applied Linear Models Applied Time Series Applied Multivariate Statistics Introductory to Math Statistics Applied Data Analysis Statistical Consulting Clinical Trials Methodology Investment Science Statistical Bioinformatics in Medicine Design of Experiments Biostatistical Consulting Practice

STATISTICAL CONSULTING EXPERIENCE

Division of Infectious Diseases & International Health, Confidential (Fall 2009) Immune responses to TB antigens and its association with malnutrition, intestinal helminth infection and immune genes Methods: Kappa test, logistic regression, general linear model Skills: SAS data import, data cleanup, proc glm, proc freq, proc logistic, proc gplot

Department of Medicine, Center for Inflammation and Regeneration, Confidential (Fall 2009) Microarray Data Analysis in Animal Models of Auto-immune Disease: 1) to find differentially expressed genes between double mutant mice and scurfy mice samples; 2) to find and construct the network of Autoimmune disease Methods and skills: (R software) Quality control, LPE, SAM, LIMMA, two-way hierarchical clustering, k-means cluster, pathway analysis, KEGG

Department of Otolaryngology, Confidential (Spring 2009) Tested if exhaled breath condensate pH would fluctuate in conjunction with reflux events and if pharyngeal reflux would positively correlate with quantified tracheal aspirate pepsin levels Methods: General linear model Skills: SAS data import, data cleanup, proc glm

Department of Economics,Confidential (Spring 2009) Relationship between the business cycle and graduate/professional school application levels Methods: Time series and linear regression Skills: SAS data import, proc reg, proc gplot Haiyan Sun Page 2

ACADEMIC COURSE PROJECTS

Country clustering based on life expectancy (Software: R; Spring 2009) Methods: Multivariate analysis methods, including data standardization, principle component analysis, and hierarchical clustering The effect of diadanosine (ddI) and zalcitabine (ddC) on HIVinfected patients who previously received zidovudine (Software: SAS; Spring 2009)

  • Project 1, using the linear regression method: Transformation, model selection, model diagnostics, collinearity test, missing data analysis, and nonparametric test
  • Project 2, using the survival analysis method: Kaplan-Meier curves, Cox proportional hazards model, test non-proportionality and model selection

An analysis of the 1995 U.S. News & World Report's Guide to America's Best Colleges (Software: SAS; Spring 2009) Methods: Linear regression, data standardization, principle component analysis, and clustering An analysis of the March 2004-April 2008 Average Prices of Houses Sold in U.S.A. (Fall 2008) Methods: Time series

TECHNICAL SKILLS

  • Proficient with SAS, R, SPSS, and advanced Excel functions for statistical analysis
  • Proficient with MS Word, PowerPoint, and Access
  • Comfortable with MySQL and MS Access database

OTHER EXPERIENCE

  • 2002-2004. Instructor, Confidential.
  • 2002-2003. Collaborated with colleagues on designing and revising the curriculum of the instructional technology program at Confidential.
  • Spring 2002. Designed and developed a Computer-Assisted Instruction (CAI) courseware for a course, Educational Television Production, using instructional design skills and the Authorware software package

CERTIFICATE Teaching Certificate

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