biostatistics

XIN HE, MS

**** * ***** **, *** ***, Arlington, VA

202-***-**** ò *******@*****.***

http://www.linkedin.com/in/XinHe01

Education

Georgetown University, Washington, DC: 2015

Master of Science – Biostatistics (GPA: 3.8/4.0)

Relevant Course Projects:

Research Practicum (Models for Prediction of Tumor Growth Function; see Research Experience);

Survival Analysis for Patients with Myelodysplastic Syndrome (MDS) Treated with Immunosuppressive Therapy;

Attended statistical consultations as a learner;

Quantitative Data Analyst & Reporting (totally six projects);

Bioinformatics for Omics Data (Study on Gene Expression Related to Chronic Kidney Disease).

Southern Medical University, Guangzhou, China: 2014

Bachelor of Science – Biostatistics

Relevant Course Projects: Statistical Modeling on Beijing Air Quality; Clinical Data Management Training, 2013.

Certifications or Additional Education:

SAS Certified Base Programmer for SAS 9; Certificate No.: BP053419v9

SAS Certified Advanced Programmer for SAS 9; Certificate No.: AP015514v9

Professional Experience

Roche Pharmaceuticals Ltd. ò Shanghai, China ò Jul. – Aug., 2015

Biostatistics Summer Intern, PDY-Biometrics Group

Developed statistical analysis plan (SAP) for a predictive biomarker exploratory study under the supervision of a statistical scientist.

Prepared statistical analysis dataset (SAD) including combining, converting, cleaning and validating clinical data and biomarkers data.

Performed quantitative analysis and survival analysis, and generated tables, figures, listings (TFLs) for conference presentation using R. Ensured R functions were flexible for future analyses.

Explored display of reporting using R Markdown and R Shiny to ensure the convenience of checking codes and outcomes for senior statistical scientists.

Presented final study report to all statistical scientists in PDY-Biometrics Group.

Georgetown University Medical Center ò Washington, DC ò May – Jun., 2015

Statistical Analyst Intern

Provided consulting service service to Georgetown University medical school students on their Independent Study Projects collaborating with a biostatistician; finished 3 projects.

Utilized R and SAS to perform data management and statistical analysis, including generated tables, figures and listings, for medical and healthcare data.

Generalized statistical reports including statistical description and easily understandable tables and graphs.

Identified, tracked, reported and resolved critical issues in a timely manner, and achieved assignments on time.

Southern Medical University ò Guangzhou, China ò Mar., 2013 – Jan., 2014

Student Statistical Assistant, Department of Biostatistics

Reviewed the dissertations of PhDs candidates from Southern Medical University, including experiment designs, statistical methods and results interpretation; reviewed 12 dissertations.

Assisted in data analyses on medical and experimental data for PhD candidates for their dissertations using SAS, R and SPSS.

Searched and managed a large amount of literature for a meta-analysis research, then extracted information and collected them from the literature using MS Excel.

Research Experience

Participant, Research Practicum, Georgetown University, Washington, DC: Jan. – Dec., 2015

Built models for tumor growth data using parametric methods such as MANOVA, multivariate growth-curve analysis, regression with random effects/autoregressive error model, and nonparametric methods such as similarity based nonparametric estimation and k-means for longitudinal data.

Compared power of the parametric methods under a simulation study and perform data analyses using R.

Research Assistant, Biometry Research Group, National Cancer Institute, Rockville, MD: Feb., 2015 – Present

Search relevant journals for clinical trials published in recent years and checked how well these publications reported on randomization methods and masking, quality of randomizations, and evidence for selection bias.

Co-author papers for the Improved Randomization Methods project under the lead of Dr. Vance W. Berger (see publications below).

Participant, Graduation Project, Southern Medical University, Guangzhou, China: Sep. 2013 – Jun., 2014

Predicted the survival status of patients with chronic renal failure using three models: Back-Propagation (BP) neural network, Bayesian regularization of BP neural network and logistic regression.

Compared the prediction accuracy of these models using receiver operating characteristic (ROC) curve, area under ROC curve (AUC), and sensitivity and specificity of the predictions.

Technology Used: MATLAB and SPSS

Core Competencies

Data Collection & Management

SAS/R Programming

Sample Size Calculation

Statistical & Genomics Analysis

Report/Article Writing

Clinical Trial Design

Technical Skills

Statistical Packages/Programming: R, SAS, SPSS, MATLAB, R Markdown, R Shiny

Databases: SQL, EPIDATA

Software: Microsoft Office (Word, Excel, PowerPoint, Access), Adobe Photoshop, Rev-Man

Others: LaTex, PubMed

Publications

Berger VW, He X. “Concealing Block Sizes Is Not Sufficient.” Clinics in Orthopedic Surgery, accepted for publication.

Berger VW, Bejleri K, He X, Agnor B. “Rigorous Randomization: Reporting Requirements.” American Journal of Clinical Nutrition, under review.

Berger VW, Bejleri K, He X. “Randomization Procedures: The Case for Strong Encryption.” British Journal of Dermatology, under review.

Summary

Accomplished, integrity-driven, fresh graduate with enormous success utilizing statistical technology to support medical research objectives. Practiced in manipulating and processing complex data, and capturing information pertaining to medical/biological activities. Verifiable track record of managing complex projects while delivering on time, under supervision and above expectations. Exceptional academic qualifications, including the Master of Science degree in Biostatistics from Georgetown University an SAS Certified Advanced Programmer certification.

Additional Credentials

Languages

Cantonese, Chinese, English

Honors and Awards

Award of Outstanding Member of Youth League, 2011 - 2012

Organizations

American Statistical Association/Washington Statistical Society/New York Academy of Sciences – Member

Volunteering Experience

Interests

Youth Volunteers Association of Guangdong Province, 2010 - 2014

Jogging, Collecting Postcards and Maps, Family Time, Traveling, Cooking, Reading

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