Jan Einhoff

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I am a PhD Candidate at 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 my PhD, 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 description and causal inference. For my dissertation, I investigate the class stratification of work-to-retirement transitions in the context of population ageing and extending working life policies in Europe. I use a wide range of quantitative methods, including advanced survival, sequence and decomposition analyses as well as causal machine learning approaches. I also like to work with the potential outcomes framework and graphical causal models.

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.