▪ Leader of the BI Team at Center of Analytics, Department of Big Data.▪ Perform data development, analytics and visualization using Hive, Presto and Tableau, to support business decision-makings.▪ Achieved a quarter performance 'S' and an annual performance 'A' for the significant contributions to corporate-wide data visualization and project leading.

▪ Provided analytics support for health service research projects led by investigators and researchers from Penn Medicine and The Wharton School; Collaborated with statistical experts to crystallize the modeling methodologies▪ Queried massive (>1TB) administrative database (Medicare claims data, provider data and census data) using SAS, SQL and R in Unix environment; Created highly-clean analytical datasets; Performed multiple imputation to handle missing data▪ Used SAS, R and STATA to perform statistical tests and modeling (e.g. linear regression, logistic regression, negative binomial regression, survival analysis, longitudinal models, multivariate models, etc.) to resolve real-life research questions▪ Coauthored on the paper published on Journal of the American Medical Association (JAMA) - Internal Medicine

▪ Provided consultation to the quality improvement team to translate the quality metrics into technical designs for data solutions; Collaborated with BI developers to establish Tableau data sources for business needs▪ Developed 8 comprehensive and high-impact Tableau dashboards to track the performance of 7 main hospitals in the system, which enabled quality managers to effectively identify the issues and improve quality▪ Queried large (> 300GB) Electronic Medical Records (EMR) and risk data from Epic, RL Solutions and the enterprise data warehouse on Tableau server to fulfill regular and ad-hoc analytics/reporting requests from executive directors and CMOs

• Extracted air quality data and climate data from multiple data sources including EPA, NCDC and NSRDB, and used R to create an analytical dataset including 36,750 multilevel observations for research needs• Used R to develop a generalized linear mixed model to predict future ambient ozone levels by meteorology and precursors; tested the accuracy of the model using a 10-fold cross-validation• Coauthored with Dr. Howard Chang on the abstract presented at 2016 Joint Statistical Meetings (JSM)

• Performed molecular cloning, recombinant protein expression and purification to study human TCRs structure and function