I am an applied economics PhD specializing in causal inference and large-scale administrative data. My work focuses on quantifying behavioral responses and evaluating policy impacts using quasi-experimental methods on datasets with 100M+ observations in order to inform decisionmaking.
Causal inference (DiD, event studies, IV, etc.)
Large-scale data analysis (experience working with 100M+ observations)
Policy evaluation and behavioral analysis
Translating empirical findings into actionable insights
Technical Skills: Stata (Advanced), Microsoft Office Suite (Advanced), R (Intermediate), Slurm (Intermediate)
I am interested in roles where I can apply causal inference and large-scale data analysis to real-world decision-making. This includes economist, applied research, and data-focused roles in industry, policy, and technology organizations.