High School Data

Yongmei Pan

Address: ** ****** **** ***, ***********, MD, 21228

Cell phone: 859-***-****

E-mail: **********@*****.***

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PROFESSIONAL PROFILE

• SAS Certified Base Programmer for SAS 9 (Mar. 2012).

• SAS Certified Advanced Programmer for SAS 9 (Aug. 2012).

• More than five year experience with SAS application in biomedical research, student, and health care data.

• Computer skills: SAS programming (Base, Macro, SQL), Operating System (Windows, Unix, Mac OS),

Programming language (C, Java), MS office (Word, Excel, PowerPoint, Access).

RELATED EXPERIENCE

Postdoctoral Fellow (Sep. 2012 – present), NIH/NLM/NCBI, Bethesda, MD

• Application of molecular modeling and statistical analysis in bioinformatics/pharmaceutical research.

SAS application: 1) Identification of statistically significant gene expression among DNA microarray data sets by

using Ttest and Anova procedures. 2) Prediction of correlation between biological activities and chemico-physical

properties with procedures Reg and Corr.

SAS Programmer (Nov. 2011-Aug. 2012), Nutech Computer Systems Inc., Rockville, MD (part time)

• In-depth knowledge of concepts of SAS programming and various problem-solving skills with data steps,

procedures, and functions.

• Generation, manipulation, and combination of datasets with SAS data steps, procedures, Macro, and SQL.

• Statistical analysis (Univariate, Ttest, Anova, Glm, Reg, Corr, Logistic…) and case report procedures (Freq,

Report, Tabulate); report presentation in rtf, pdf, csv, and h formats through SAS Output Delivery System

(ODS).

Project 1: Tested how each of three different learning styles affects the academic achievement in ten high school

students involved.

Project 2: Manipulation and data analysis of patient prescription and medical datasets by using SAS data steps

and procedures.

Postdoctoral Researcher (Apr. 2009 – Oct. 2011) Department of Pharmaceutical Sciences, University of

Maryland at Baltimore, Baltimore, MD, USA

• Computer-aided drug design with structure and ligand-based molecular modeling software.

• Linux and SGI workstation administration.

• C/C-shell/awk language coding.

• Comprehensive background with pharmaceutical and computer sciences.

SAS application: Evaluation of drugs effects on biological systems with significance analysis among control and

test samples by using procedures Ttest and Anova.

Research Assistant (Aug. 2004 – Jun. 2009) Department of Pharmaceutical Sciences, University of

Kentucky, Lexington, KY, USA

• Computational design of enzyme mutants for anti-cocaine medication.

• Java language coding.

SAS application: Evaluation of mutant effects on cocaine metabolism with significant analysis among

wild type and mutant enzymes.

EDUCATION

• PhD (2009) Pharmaceutical Sciences, University of Kentucky, KY, USA

• MS (2003) Physical Chemistry, Chinese Academy of Sciences, Beijing, China

• BS (1997) Chemical Engineering and Material, Beijing Institute of Technology, Beijing, China

WORKING STATUS

Permanent resident of the United States

REFERENCES

Available upon request

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