Tianze Wu

**** * **** **, #***, Arlington, VA, **201 Cell: 206-***-**** Email: acxeq8@r.postjobfree.com LinkedIn: https://www.linkedin.com/in/tianze-wu-696983108 SUMMARY

Expected graduate with MS in Biostatistics in December. Experience in SAS programming and biostatistics research. Seeking for a position as statistical programmer in field of biometrics EDUCATION

Georgetown University, Washington, DC

Master of Science, Biostatistics December, 2016

• Relevant Courses: Categorical Data Analysis, Linear Models & Multivariable Analysis, Survival Analysis, Quant data analysis& Reporting, Omics Data, Experimental design& Clinical trial. University of Washington, Seattle, WA

Bachelor of Arts in Mathematics June, 2015

• Relevant Course: Probability I, II& III, Statistical Methods in Engineering and Science, Real Analysis, Applied Linear Algebra and Numerical Analysis.

• Honor: Dean’s List, 2 quarters.

TECHNICAL SKILLS & CERTIFICATIONS

Programming: SQL, Matlab, R, SAS.

Certifications: SAS Base Programming for SAS 9, SAS Certified Advanced Programmer for SAS 9. RESEARCH PROJECTS

Georgetown University, Washington, DC May 2016 - Present Cancer early detection using the energy distance in analysis of gene expressions. (working with Dr.Fang)

• Used statistical model Energy distance on high dimensional data to find 48 significant genes as the biomarkers to detect ovarian cancer in R.

• Applied advanced statistical model (Mixed effect ANOVA, LASSO) on same data and use ROC to compare results.

• Proved energy distance has better specificity on sensitivity >90% and cover 10% more gene networks than LASSO.

Georgetown University, Washington, DC September 2016 Steroid hormone levels associated with passive and active smoking

• Built SAS program to clean data and apply statitical analysis to examine the association between 11 steroid hormon levels and three tobacco smoking levels of healthy women.

• Examined smoking exposure for each hormone using the Kruskal–Wallis test, and use False Discovery Rate to adjust p-value to find 3 statistically significant associated hormones.

• Used a SAS macro of Dunn’s test to complish multiple pairwise groups comparison. Categotical vairables were tested by rank ANCOVA.

PROFESSIONAL EXPERIENCE

Tigermed Consulting Co. Ltd. Hangzhou, China

Assistant Biostatistician August/2016-Present

• Assisted the department director in performing statistical analysis on clinical trial Phase II, Phase III, and generated Tables, Listings and Graphs.

• Developed and maintained SAS programs and macros used for including, testing, and organizing datasets, SAS programs, and related documentations.

• Work with clinical trial team members to develop statistical analysis protocol for new treatment.

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