▪ Audited and optimized state record-keeping services of over 1 million current participants state-governed retirement services▪ Designed algorithm to assess database efficiency statistics to make cleaning and managing of data warehouses more efficient▪ Worked alongside and led a team of 10+ other departments to organize and modernize an initiative to transfer data analysis and reporting services away from IBM Cognos and into MS Power BI

▪ Used causal inference methods to determine cause-and-effect relationships within various large-scale health, demographic, and financial datasets▪ Developed foundational software for running causal discovery algorithms against a series of standardized testing conditions▪ Designed novel statistical modeling architecture for analysis of causal discovery algorithms and use within the HPCC Systems Causality Framework▪ Gave talk at 2023 HPCC Systems Poster Competition on Causal Statistics and The Future of Casual Inference and Discovery

▪ Developed biomarker-based predictive and machine learning models for traumatic brain injury outcome with teams from two major internationally collaborative projects – TRACK TBI and CENTER TBI▪ Trained and designed image recognition algorithms using fMRI data for early identification of neurodegenerative disease▪ Developed data visualizations and reports for publication in various scientific journals using R, Python▪ Managed laboratory logistics and project organization including finances, grant deadlines, and academic partnerships▪ Coordinated and led teams of undergraduate volunteers to work on projects and develop independent theses ▪ Organized and analyzed large warehouses of Healthcare Data using R, GraphPad Prism and Microsoft Excel