Michael Ganslmeier

I am Assistant Professor in Computational Social Science at the University of Exeter, United Kingdom. In my research, I am investigating political and electoral behaviour in advanced economies. Furthermore, in collaboration with the International Monetary Fund and the World Bank, I study the economics and politics of climate change.

As a quantitative scholar, I mainly use causal inference and machine learning methods. Beyond my research, I have been teaching graduate (MSc and PhD) and undergraduate courses on causal inference, quantitative research methods, regression analysis, computational programming, data science, machine learning as well as social policy and political economy.

Prior to my tenure at Exeter, I was a post-doc (LSE Fellow) at the Department of Methodology at the London School of Economics and Political Science. I hold a PhD from Oxford, a master's degree from LSE, and a bachelor's degree from Zeppelin University (with a semester abroad at Columbia University).

I am an affiliated fellow at the Department of Methodology at LSE, the LSE Data Science Institute, and the Department of Social Policy and Intervention at the University of Oxford.

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