I am a Research Scientist on Central Applied Science at Meta. As an econometrician, I am interested in various topics such as causal inference in both observational and experimental settings, machine learning, and time-series analysis. My work involves developing industry-leading technologies to improve online experimentation systems. Examples include addressing various interference issues in A/B testing within ranking systems, budget/infra capacity constraints, bipartite structures, and more. Additionally, I develop methodologies that leverage observational causal inference techniques in experimentation and reinforcement learning systems.

I hold a Ph.D. in Economics from Duke University. In graduate school, I was advised by Prof. Jia Li and Prof. Tim Bollerslev, working on theoretical topics in financial econometrics, with a focus on nonparametric and semi-parametric inference using high-frequency data and on testing models of financial markets.  

• Email: hyllie929@gmail.com

Curriculum Vitae (PDF)