Education:

Georgetown University, Washington D.C. U.S. M.S. Biostatistics 3.875 Dec.2016

BNU-HKBU United International College (UIC), Zhuhai, China B.Sc. Statistics 3.48 June.2015

Experience:

Georgetown University, Department of Biostatistics Research Assistant Mar.2017-Current

Analyzed the entire data from the pharmaceutical company sponsored multicenter Phase II Study of TH-4000 in Patients with EGFR-Mutant, T790M-Negative, Advanced Non-Small Cell Lung Cancer Progressing on an EGFR Tyrosine Kinase Inhibitor.

Provided comprehensive analysis and tables for this trial from patient characteristics, statistical analysis, and figures such as the KM curves etc. Programmed in SAS.

Assessed efficacy by response rates and estimated duration of response, progression-free survival, and overall survival using Kaplan-Meier method.

Generated tables, listings, and figures (TLFs) for the following: ECOG performance status summary, adverse events, laboratory toxicities, vital signs, and cardiac safety endpoints.

Summarized how the Wilcoxon-Mann-Whitney test was used from 50~ research reports in Science 2016.

Implemented numerical experiments to compare confidence interval (CI).

The generalized pivotal CIs, fiducial CIs, and score intervals were compared for risk difference, relative risk, and odds ratio using R.

Georgetown University, Department of Biostatistics Research Assistant Jun.2016-Dec.2016

Extracted analytic files from MIMIC III clinical database (40~ GB for 40,000~ unique patients) using R.

Built logistic regression models and LASSO logistic models to classify three-class outcome variables.

Compared models by receiver operating curve (ROC) and volume under ROC surface (VUS) using R packages.

Exposed to the configuration of single-node Hadoop, HBase, and ‘R Hadoop’ R packages in bash shell.

Compared standard error estimators and empirical powers for single mediator model by simulations using R.

BNU-HKBU United International College (UIC) Final Year Project Sep.2014-Dec.2014

Applied Lomb Periodogram to heart rate time series and analyzed meditation effects using MATLAB.

Honors & Certifications:

Undergraduate First-Class Graduation Honors and President’s Academic Honor Roll. (2/43)

SAS Base Programmer for SAS 9 (BP067348v9) SAS Advanced Programmer for SAS 9 (AP019862v9)

Technical Skills:

Statistical Methodology Research SAS R Studio

Portfolio:

https://www.dropbox.com/s/rcfia8ttjazgram/Independent_projects.pdf?dl=0

Letter of Application:

I am writing to express my keen interest in the position. I am a diligent, conscientious, persistent, and dedicated person. I ranked number two from forty-three students in my undergraduate studies in statistics. I studied very hard in my graduate studies in biostatistics and accumulated valuable experiences in biostatistics.

Recently I have participated in an oncology study. The study is a two-stage, phase 2, single-arm, open-label, multi-center clinical trial. The drug is negative, and the pharmaceutical company no longer sponsored the study, but the PI still wants to publish the results. I am responsible for the data analysis. I received the raw files, protocol, and patient listings from the PI. The partial results were reported to the PI. The final results were reported to the PI and a biostatistics professor. During the process, I independently understood the protocol, performed all the analyses, and documented analyses. Although this is not a large trial, I did the entire analysis with so many variables of different kind. If it is a trial with larger sample size, the programming part would be the same, although we will have different definitions.

I understand the mathematical derivations as well as the practical applicability of methodology. I am very familiar with survival analysis, generalized linear models, linear models, and multivariate analysis. I can perform commonly used methods of sample size calculations, randomization, and study designs. I have a high degree of programming proficiency in SAS. I have excellent working knowledge of SAS/BASE, SAS/MACRO, SAS/GRAPH, SAS/STAT. I can perform advanced queries using SAS/SQL. I also have numerous project experiences using R. I can use R to manipulate large amounts of data. I like to study R packages thoroughly, and I can apply them accurately. I am very good at statistical programming. I am a versatile and quick learner for other commonly used statistical software like STATA, etc.

I want to pursue a career in biostatistics. I am eager to continuously develop my expertise in biostatistics and bioinformatics. Please consider my application.