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[email protected]

[+39] 055 4685 568


Badia Fiesolana, BF414


Julia holds a PhD in Political Science from the Department of Government at the London School of Economics and Political Science. Prior to this, she obtained an MSc in Politics Research from the University of Oxford and obtained a BA in Social Science from Humboldt University Berlin. During her undergraduate, she studied at the Department of Political Science at University College London for one academic year.

In her PhD thesis, Julia developed an approach to measure populist and anti-populist positions in multilingual texts to explain their variation across time and parties, as well as an approach to understand the effects of spatial exposure to out-groups on voting behaviour. Julia's substantial research interest is in the causes and measurement of political positions and ideologies of political actors, as well as political attitudes and behaviour; her methodological interests focus on multi-lingual quantitative text analysis, machine learning, causal inference and innovative applications of geospatial network analysis. As a Max Weber Fellow Julia examines the causal effects and measurement of authoritarian indoctrination in education on democratic attitudes. Julia is the organiser and co-representative of the CIVICA Data Science Series at EUI.

Julia has been funded by the LSE studentship and the German Academic Scholarship Foundation. She has won several prizes and grants, such as the EUSA Ernst Haas Fellowship, the Phelan US Centre Summer Grant, and the STICERD Small Grant, among others. She is also a Visiting Fellow at the Department of Government, LSE. Julia has taught courses on research design, data science and machine learning, and parties at LSE and Humboldt University.


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