Bio

I am a 5th year Ph.D. candidate in Economics at Virginia Tech on the 2025-2026 academic job market. My research lies at the intersection of applied econometrics, statistical methodology, and computational modeling, with a particular focus on simulation-based validation and meta-regression techniques. I aim to bridge methodological rigor with practical, policy-relevant insights, applying advanced econometric tools to areas ranging from macroeconomic forecasting to experimental design and machine learning. My job market paper designs simulation-based analyses to assess the optimal performance of meta-regression methods under heterogeneity in location and/or time. This provides three contributions: (1) a practitioner's guide to model selection, (2) tests the efficacy of two methods newly circulating the literature, and (3) tests the performance of methods when facing varying degrees of joint location-time heterogeneity.

In addition to research, for the past two years I have had extensive experience in: teaching seven sections of undergraduate courses in economics (including applied econometrics, with teaching evaluations consistently above the college and department's average), academic work (in addition to the standard graduate assistantship), and professional service (refereeing journal articles, providing letters of recommendation, speaking at alumni events for my alma matter, etc). Please see my CV for further details. 

Beyond technical expertise, I have fostered extensive leadership experience both in and outside research positions that have strengthened my ability to communicate complex concepts to both technical and non-technical audiences. I am currently seeking faculty roles where I can continue this work and collaborate on interdisciplinary applied econometrics.