Summary
Jan Rosa is an applied microeconomist and economist at the OECD with a decade of experience combining causal inference, regional and spatial economics, and large-scale data analytics. He blends rigorous academic training (PhD work at UBC and advanced degrees across Europe) with practical skills in machine learning, deep learning model development, hyperparameter tuning, stochastic simulation, and Bayesian macroeconomic estimation. At UBC he supported high-impact research using administrative data and solved complex structural models, and now applies that computational toolkit to policy-relevant analysis for regions, SMEs and cities. Comfortable moving from theory to scalable code, he brings an unusual mix of econometric depth and production-ready data engineering for large datasets.
9 years of coding experience
4 years of employment as a software developer
Master of Arts - MA, Analysis and Policy in Economics Share:, Master of Arts - MA, Analysis and Policy in Economics Share: at Université Paris 1 Panthéon-Sorbonne
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at Vancouver School of Economics at UBC
Licencjat (Lic.), Quantitative Methods in Economics and Information Systems, Licencjat (Lic.), Quantitative Methods in Economics and Information Systems at SGH Warsaw School of Economics
Master M1, QEM Models and Methods of Quantitative Economics, Master M1, QEM Models and Methods of Quantitative Economics at Università Ca' Foscari Venezia
Licencjat (Lic.), Mathematics, Licencjat (Lic.), Mathematics at Uniwersytet Warszawski