Liu Joe

Managed standardized monthly delivery of nationwide pharmaceutical commercial datasets and independently handled feedback and custom data requirements for six leading pharmaceutical clients, including Bayer, Gilead Sciences, and Innovent Biologics.

Applied machine-learning and interpolation methods to repair incomplete commercial and real-world datasets, then converted recurring cleaning and qual

Served as the independent statistician for a Bayer heart-failure study; prepared the Statistical Analysis Plan, programmed propensity score matching in SAS, generated tables, listings, and figures, and delivered reports.

Used SQL, regular expressions, mapping logic, and systematic quality control for an observational prostate-cancer study, supporting patient characterization and downstream analyt

Cleaned and analyzed more than 12,000 electronic medical records with Python/Pandas for two chronic-disease real-world studies; produced descriptive statistics supporting study planning and reporting.

Converted clinical questions into research requirements and analytical tasks, supporting two investigator-initiated studies; reviewed and reproduced Statistical Analysis Plans and outputs and valida

Collisions Environmental Justice Project

Data Processing & Machine Learning Application: Spatial analysis of satellite data and meteorological variables were analyzed using ArcGIS Pro and R. Three machine learning models (neural network, random forest, and gradient boosting) were used, resulting in high-resolution air pollutant concentration predictions.

Environmental Justice Algorithm Develo