I am a PhD candidate in Economics at McMaster University and on the 2026–2027 job market.

My research lies at the intersection of econometrics, computational methods, and industrial organization. My current work develops scalable methods for estimating large differentiated-product demand models, combining double/debiased machine learning with stochastic estimation to accommodate large samples and high-dimensional controls.

I am also interested more broadly in structural econometrics, program evaluation, and empirical applications of modern econometric methods.

I can be reached at zhanq73@mcmaster.ca.