PhD Student · Bocconi University · a.y. 2025/26
Zekai & Shen
I use NLP and machine learning to study questions in applied economics — on political economy, the effects of generative AI, the automation of research design, and the science of science.
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Fig. A — Event-Study · Coefficients on Section Links
β̂ ± 1.96 · SE
Note.
Each post-treatment coefficient is a link to a section of the site — click a point to navigate.
Pre-trend is flat (parallel trends hold); treatment = when research started.
Bars are 95% confidence intervals, clustered at the project level.
§ 00 · About
Iam a first-year PhD in Economics and Finance at Bocconi University. My research sits at the intersection of applied microeconomics and machine learning — using NLP and text-as-data methods to ask causal questions about innovation, science, and political economy.
Always open to collaborations at the intersection of AI and economics — please write.
Fig. B — Research Interests · co-occurrence graph