I am a political scientist and I obtained my PhD from University College London in December 2018. I research legislative politics/legislative institutions with a focus on the European Union and quantitative methods.

In my dissertation, I look at informal decision making in bicameral systems such as the EU. I am interested in the conditions under which negotiators will deviate from their mandate to further their own interest. Equally, when will informal decision making lead to policy outcomes that reflect the preferences of both chambers of parliament?

In addition, I am working on a number of EU-related papers about the inter-institutional balance of power, explaining legislative compromise when the ideological preference constellation suggests that negotiations should fail, and improving measurement methods for concepts such as policy influence and support for integration.

I am passionate about data science and I work at the nexus of quantitative methods for causal analysis and machine learning. I participate in a project on using machine learning techniques to better estimate subnational public opinion. Furthermore, I take part in an effort that applies quantitative text analysis to leverage data from open-ended survey questions collected by development organisations and in a project on forecasting conflict escalation from big data. I teach quantitative methods. Currently, I am convening the postgraduate module Introduction to Social Science 2 at Queen Mary University of London. Finally, I advice human rights/civil liberties NGOs on research methodology.