Data University

Tao Wang

Phone: 609-***-****(home), 609-***-****(cell) Email: *********@*****.***

Objective

To work in the Pharmaceutical/Biotechnology industry that will enable me to utilize

my strong statistics skills, educational background, and ability to work well in that

environment.

SUMMARY:

Proficient in SAS Programming

Expertise in analysis of Health Care and observational data using SAS.

Extensively used SAS Macros, Graphs for clinical/statistical report

Familiar with survey sampling methodology

Over 10 years of research experience in Biology

Good team player, team leader and a self-starter

EDUCATION

M.S. in Statistics Summer, 2009 (expected)

Rutgers University New Brunswick, NJ

Ph.D. in Biological Science Aug, 2007

Texas A&M University College Station, TX

B.S. in Biology July, 1997

Univ. of Sci. Tech. of China Hefei, China

EDUCATIONAL EXPERIENCE:

Rutgers University New Brunswick, NJ 08/08 – Current

Programmed using SAS to analyze larynx cancer data, compared the survival

time course of two different treatments, performed the LogRank and Renyi

test to compare the death rate between two different subpopulation, model

the death time on age, year, and stages of cancer.

Wrote a clinical trial protocol to study the effectiveness of virginity pledge

among teenagers. Programmed in SAS for group randomization and multiple

comparisons.

Programmed in SAS to analyze survey data provided by graduate students in

statistics department at Rutgers University. Built a multiple logistic regression

model to predict students’ future career choices on their physical and

academic background.

Programmed in R to explore the relationship between air pollution on a road

in Norway and meteorological factors and human activities in the area. Built

multi-regression models and performed model diagnosis, selection and cross

validation.

Programmed in SAS to predict depression among Rutgers students based on

the physical variables, social-economic status, and academic course load.

Page 1 of 2

Built models using forward selection and all-subset selection; Analyzed the

goodness of the fit of the selected models.

Texas A&M University College Station, TX 06/99- 08/07

Biological data mining: Bioinformatics study of plant SET-domain genes.

Arabidopsis, rice, and maize SET-domain proteins were classified according

to their domain architectures. The functions of two unknown SET-domain

proteins were predicted.

Mathematical modeling: Optimize forward functional genomics approaches to

determine the transposon insertion location in a tagged library.

Visa Status

Permanent Resident.

Page 2 of 2

Contact this candidate