Lu Shen
***** ********* *******, #*** *****: ***********@*****.***
Rockville, MD. 20851 Phone (Cell): 603-***-****
Qualification Summary
Proficient in statistical programming in R and SAS.
Experienced with database manipulation/SQL query.
Expertise in experimental design.
Solid background in statistical theory and methods, as well as in biological science.
Excellent verbal and written skills and team worker.
Professional Certificate
SAS Certified Base Programmer for SAS 9 (No: BP034729v9).
SAS Certified Advanced Programmer for SAS 9 (No: AP009540v9).
Education
M.S. Statistics, Iowa State Univ., USA 2014
Ph. D. Biochemistry, Iowa State Univ., USA 2012
M. S. Microbiology & Biochemistry Pharmaceutical Science, Jinlin Univ., China 2001
B. E. Biological Pharmacology, Jinlin Univ. & Shenyang Pharm. Univ. China 1999
Related Coursework
Statistical Methods (I & II) Design of Experiments
Theory of Probability and Statistics (I & II) Response Surface Analysis
Design and Analysis of Gene Expression Experiments Bayesian Statistics
Quality Control and Engineering Statistics Statistical Learning
Biostatistics & Epidemiology (audit)
Skills
Solid knowledge in both theories and applications of statistics.
Experienced in database manipulation/SQL query.
Strong statistical programming skills in R and SAS, including but not limited to SAS/BASE,
SAS/STAT, SAS/Graph, ODS and macro. Familiar with Python.
Skilled in descriptive analysis, linear regression, ANOVA, logistic regression, mixed model
application, experimental design, statistical quality control and Bayesian analysis.
Proficient in Microsoft Office suite.
Ability to work under multiple platforms including Windows and Unix/Linux.
Work Experience
Project Leader Shanghai HealthDigit Co., Ltd, China 2002-2003
Research and development of auto-immune disease protein biochips toward clinical trials.
Senior Research Associate Shanghai HealthDigit Co., Ltd, China 2001-2002
Development and validation of multi-tumor marker protein biochips in clinical trials.
Project & Data Analysis Experience
Augmented Plackett-Burman Designs with Replicate Runs and Minimal Bias.
Using a special doubling strategy and random sampling to develop an augmented design which
could estimate the error variance and minimize the possible bias of main effect estimates.
(manuscript in preparation) (2013-2014)
Characterizing Extreme Events in Computer Simulations.
Using Gaussian Process Prediction to characterize extreme events in computer simulations.
(manuscript in preparation) (2013)
Microarray/NGS Data Analysis with R/SAS.
Using bioconductor and related R packages as well as SAS programs to study gene expression
measures. (2013)
Statistical Data Analysis in Biological Field
PCA analysis for protein structure simulation results with MATLAB. Data management and
analysis of biochemistry data with SAS. Perform statistical analysis and model development for
systematic enzyme kinetics data with SAS. (2007-2014)
Awards & Scholarships
Graduate Student Teaching Award, Iowa State University, USA 2007
References
Prof. Max Morris Major professor *******@*******.*** 515-***-****
Dr. Wu Huaiqing Committee member ******@*******.*** 515-***-****
Dr. Nordman Dan Committee member ********@*******.*** 515-***-****