ZIP-level welfare analysis using U.S. Census and PolicyMap economic indicators, with a reproducible machine-learning pipeline for poverty vs. SNAP uptake.
📊 Provide a Python toolkit for DSGE modeling with tools for linearization, estimation, simulation, filtering, and policy analysis.
A Python toolkit for DSGE modeling: parse model files, solve linear and nonlinear systems, run simulation and estimation workflows, and perform policy/welfare analysis.
Julia and MATLAB coursework at the Stockholm School of Economics and Stockholm University
End-to-end Python implementation of Bognanni et al's (2026) decision-support infrastructure for infectious-disease emergencies. Simulates laissez-faire, stay-at-home, temporary & adaptive lockdown, vaccine arrival & eradication-zone counterfactuals, decomposes welfare into deaths and lost output, & traces the pandemic possibilities frontier.
Integer Programming Extreme Value Model
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