Jan Einhoff

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I am a Research Scientist at the Max Planck Institute for Demographic Research in Rostock, Germany, and part of the Max Planck – University of Helsinki Center for Social Inequalities in Population Health (MaxHel).

Previously, I completed my PhD studies with the DYNAMICS Research Training Group, a joint programme of Humboldt University and the Hertie School in Berlin, funded by the German Research Foundation (DFG). During this time, I was a visiting researcher at the Finnish Centre for Pensions in Helsinki, the University of Wisconsin in Madison, the Max Planck Institute for Demographic Research in Rostock, and Nuffield College in Oxford.

My research centres on topics in sociology and social demography (life courses, population ageing, social stratification, social and labour market policy, among others) as well as novel quantitative methods for descriptive and causal inference. I use a wide range of quantitative methods, including advanced survival, sequence and decomposition analyses as well as causal machine learning approaches.

In addition to my PhD research, I have worked as a Consultant at the OECD's Directorate for Science, Technology and Innovation, where I contributed to reviews of national innovation policy and a project exploring natural language processing tools and large language models for innovation policy analysis. In 2024, I was selected as a Young Thinker at the Centre for European Policy Studies (CEPS) to discuss policy priorities for the European elections.