• Provide biostatistics support in study design and conduct statistical analyses for clinical research projects in Cleveland Clinic Neurological Institute.• As a part of Neurological Institute’s Center for Outcomes Research and Evaluation (NI-CORE), involve in research projects aiming to improve the utilization and interpretation of patient-reported outcome measures (PROMs) in clinical patient care: •Evaluate patient conditions and treatment outcomes by PROMs •Validate and assess the psychometric properties of existing PROMs •Develop new disease-specific PROMs using factor analyses and item response theory (IRT)

• Analyzed prescription drug utilization and pricing trend using Medicare Part D claims data, developed and evaluated Medicare Advantage program network adequacy criteria by investigating the demand and supply of healthcare services.• Performed statistical analyses in SAS, collaborated with team members to verify results, and produced deliverables in the format of datasets, summary tables and databases according to clients’ requests and specifications.• Supported government agencies in regulating and supervising healthcare market, estimated the impact of policy changes on government spending and provided impartial empirical evidence for policy making.

• Aggregated physician datasets from multiple sources, created database and used SQL for querying, cleaning and managing 100,000+ records of physician organization affiliations.• Visualized trend of physician consolidation in Tennessee state with geographic data on physician practices across five years and derived market power for hospitals in different subareas.• Built logistic regression model in R to explain physician consolidation by strength and similarity of shared patient networks between medical practices.

• Provided on call small-scale statistical consulting to faculties in Peabody College.• Assisted in teaching statistical analysis course emphasizing on t-test, ANOVA and chi-square test.• Conducted statistical modeling in research project which investigates the impact of teacher’s teaching style on preschool children’s classroom understanding by multinomial multilevel logistic regression model.

• Extracted and cleaned 10,000+ log data from server’s database routinely using SQL, aggregated and analyzed log data for user behavior and user profile research by Python and R.• Created and validated product core indicators according to product features and user behavior data, and provided data support for continuous product optimization.• Identified abnormal log data and suggested detection for potential bugs in backend programs.