Berlin, Berlin, Germany
Connecting People, Professions, Potentials I am an economist and Team Lead at WifOR Institute working on labor market intelligence, workforce forecasting, and the economics of structural transformation. My research focuses on how demographic change, technological progress, and industrial policy reshape labor demand, skills needs, and workforce structures across Europe. At WifOR, I lead the labor market research team and the development of our Labor Market Intelligence (LMI) platform — a European-wide labor market and HR intelligence infrastructure that integrates large-scale datasets with research-grade economic and econometric models. The platform generates forward-looking insights on labor supply, labor demand, and workforce dynamics, supporting evidence-based workforce policy, labor market analysis, and strategic workforce planning across Europe. A central focus of my research is estimating labor demand at scale. Much of the public debate relies on vacancy statistics, which capture only part of actual workforce demand. My work therefore develops structural and econometric models of labor demand to derive more robust estimates of workforce needs across sectors, occupations, and regions. Beyond measurement, my research examines skills shortages, workforce transformation, and the employment effects of industrial and climate policy. Recent work includes studies on healthcare workforce shortages, labor market implications of the green transition, and employment effects of industrial policy instruments such as local content regulation. I also contribute to the Hans Böckler Stiftung Kompetenzcluster on workforce needs in the transformation. I work with ministries, research institutions, unions, and companies across Europe to translate labor market data into actionable intelligence for workforce strategies, industrial policy, and economic transformation, and I am always interested in exchanging ideas on labor market intelligence, workforce forecasting, and skills challenges in the industrial and green transition.
I lead WifOR’s Labor Markets & Incubator team, heading a group of researchers working at the intersection of applied economic research, labor market forecasting, and data-driven product development. My work focuses on labor shortages, skills mismatches, and structural change, combining rigorous economic modeling with decision-ready tools for policymakers, social partners, and businesses. In this role, I am responsible for research strategy, methodological development, and the translation of complex labor market analysis into actionable insights and scalable products. Key areas of work include: - Labor market forecasting and analysis of skills shortages, workforce dynamics, and structural change (e.g. regional healthcare labor markets) - Conceptual and methodological development of the Skilled Labor Monitor (SLM), a regional forecasting and scenario tool - Incubation of new data-driven products, including dashboards, scenario models, and retention and workforce planning tools - Advising ministries, unions, and companies through evidence-based analysis, policy briefs, and executive-level communication
Led applied labor market research and served as Product Manager for the Skilled Labor Monitor (SLM), WifOR’s labor market intelligence tool based on scientific economic models. Combined methodological development, economic analysis, and product design to translate research into scalable decision-support tools. Key focus areas & contributions: - Product ownership and methodological development of the Skilled Labor Monitor (SLM) - Labor market forecasting, skills shortages, and qualification demand analysis - Applied research on structural change, demographic effects, and regional labor markets (e.g. healthcare) - Collaboration on national policy initiatives (e.g. Hans Böckler Foundation Kompetenzcluster) Methods & tools: - Input–output modeling, econometric and regression analysis, scenario modeling - Python-based quantitative analysis and forecasting workflows
Delivered applied economic analysis and policy simulations for public and private-sector clients, with a focus on structural change, taxation, and data-intensive modeling. Selected contributions: - Built and analyzed a micro-level dataset covering 5,000+ firms and products to assess regional and sectoral impacts of structural change in the Bavarian automotive industry - Modeled consumer demand responses to excise taxation to inform policy design and business planning in regulated markets - Contributed to the integration of machine learning methods into economic forecasting and policy simulation workflows
Delivered applied economic research and policy evaluation across social care, culture, and tax policy for international institutions, governments, and foundations. Combined quantitative and qualitative methods with programming and technical implementation to produce evidence-based insights and improve internal research processes. Selected projects & contributions: - World Bank & Government of Kenya: Contributed to tax gap analysis and Own Source Revenue assessment; developed analytical inputs and policy recommendations to address regional disparities in tax collection - UK Cabinet Office: Synthesized and structured large-scale public consultation responses for the UK COVID-19 Inquiry - The Health Foundation: Co-developed a long-term economic model to forecast demand and workforce needs in England’s adult social care sector - British Film Institute (BFI): Led qualitative evaluation of the Film Fund to inform revisions to funding allocation for independent UK films - Internal innovation: Designed and implemented Python-based workflow automation tools
Contributed to two applied research projects at the intersection of international trade and population economics. Combined quantitative methods with large-scale data processing to support empirical analysis. Selected contributions: • Developed a Python-based web scraping tool for collecting and analyzing international trade data. • Built a population accounting model in Stata using Chinese census microdata to analyze internal migration patterns.
Contributed to research on redistribution, taxation, and political economy. Responsibilities included data management, statistical analysis, and literature reviews for ongoing policy-oriented projects. Selected projects: • Analyzed the impact of tax changes on external earnings of German parliamentarians using microdata and Stata. • Contributed to a meta-study on econometric estimations by collecting and cleaning data from peer-reviewed publications