Carlisle worked at the U.S. Department of Health as an Analytics Consultant and Data Scientist, where he leads the design, development, and deployment of enterprise-scale financial analytics and modeling solutions. He specializes in financial modeling, predictive analytics, and data-driven portfolio optimization, playing a key role in managing a $2 billion annual budget, which expanded to $25 billion at its COVID-19 peak. Carlisle has developed advanced forecasting models, integrating budgetary, contractual, and financial datasets to enhance capital allocation efficiency and risk assessment.

Previously, as a Research Associate at the National Institutes of Health (NIH) Clinical Center, Carlisle conducted complex economic modeling, statistical forecasting, and financial impact assessments to support health policy and biomedical research initiatives. He played a pivotal role in designing and implementing quantitative models that analyzed healthcare cost structures, funding efficiency, and long-term financial sustainability. His work required advanced expertise in multivariate analysis, econometric modeling, and decision science, ensuring that research operations were both financially viable and strategically optimized. 

Carlisle earned his Bachelor of Science in the History of Medicine from Yale University and later pursued his passion for finance and economics by obtaining a Master’s degree in Applied Economics from Johns Hopkins University, where he specialized in financial economics