• Provided statistical support for clinical study design such as sample size power calculation and generation of randomization schedule for clinical trials• Provided statistical review of clinical trial documents such as Protocol, Case Report Forms (CRFs), Data Management Plans (DMPs) and etc.• Assisted senior Biostatisticians in writing and reviewing Statistical Analysis Plans (SAPs)• Drafted SAS programming specifications (Table/Listings/Figure shells) for clinical data analyses• Designed statistical guide for SAS programmers to conduct the clinical data analyses• Performed independent programming validation for efficacy and safety results of clinical data analyses• Provided statistical QC review of clinical data outputs before delivery to the clinical study team

• Identified the cancer-recurrence associated oncogenes with data sets from The Cancer Genome Atlas and helped provide theoretical support in diagnosis and prevention of tumor recurrence• Utilized Purdue Scholar (a computer cluster) to perform exploratory data analysis in R on 100K+ patients and 200K oncogenes includingPerformed preliminary analysis of data and preprocessed the data set by duplicates removal, outlier detection, imputation of missing data and data transformation, etc.• Applied two-sample t-test and Cox proportional hazards regression to identify possible significant oncogenes that influence tumor recurrencePerformed the false discovery rate (FDR) to improve the accuracy of multiple hypothesis testing• Visualized results by dimensionality reduction using Principal Component Analysis (PCA) to identify significant tumor-recurrence genomic bio-markers

• Researched on misrepresentation of insurance risk during the underwriting process and analyzed its influence• Developed a predictive Gamma model based on EM algorithm and run the simulation to test the feasibility and usefulness of the Gamma model