Summary
Gerome Wolf is an economist and data scientist pursuing a PhD in Economics with eight years of research and policy experience across central banks, think tanks, and the insurance sector. Currently a PhD trainee at the ECB and doctoral student at the ifo Institute and LMU, he combines rigorous econometrics and macrofinance with practical skills in financial modelling, neural networks and MLOps. His work spans climate finance (visiting at NYU Stern), policy-oriented research at the ECB and hands-on applied roles at Allianz and Deutsche Bundesbank, highlighting an ability to translate theory into actionable insights for policymakers and industry. Comfortable in multicultural teams, he has a track record of moving between academia and practice while maintaining deep quantitative expertise. Colleagues note his curiosity and commitment to problems he cares about, and he leverages modern machine learning alongside traditional panel-data methods to tackle financial economics questions. Based in Munich, he brings the rare combination of policy exposure, advanced technical tooling, and a strong international academic background.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at Ludwig-Maximilians-Universität München
International Summer School in Economics and Management (ISSEM), Panel Data Econometrics, Development Economics, International Summer School in Economics and Management (ISSEM), Panel Data Econometrics, Development Economics at University of Havana
University College London
Master of Science (M.Sc.), Economics, Master of Science (M.Sc.), Economics at Humboldt-Universität zu Berlin
Visiting Ph.D. Student, Climate Finance, Visiting Ph.D. Student, Climate Finance at NYU Stern School of Business
International Business, International Business at Hochschule für Technik und Wirtschaft Berlin
London School of Economics and Political Science
German, English, French