Senior data scientist leading ML systems at Eli Lilly. PhD in Economics from Duke.
Lead the Dynamic Targeting platform guiding salesforce engagement across LillyUSA business units. Design causal impact frameworks to quantify commercial lift and support cross-functional decisions.
Built automated marketing mix modeling and experimentation pipelines to optimize $500M+ in spend. Led a cross-regional data science team improving HCP targeting and commercial analytics tooling.
Taught Financial Econometrics, Python, and MATLAB to MS and PhD students. Developed code-first materials and led teaching assistant teams.
Doctoral research on options markets and investor disagreement. Published in the Journal of Financial Econometrics (2024).
Graduate training in mathematics with a focus on analysis, optimization, and numerical methods.
Undergraduate degree in economics; graduated with honors.