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

ZIP-level welfare analysis using U.S. Census and PolicyMap economic indicators, with a reproducible machine-learning pipeline for poverty vs. SNAP uptake.

Integer Programming Extreme Value Model

📊 Provide a Python toolkit for DSGE modeling with tools for linearization, estimation, simulation, filtering, and policy analysis.