Dr Michael Ganslmeier

Michael is a lecturer in Computational Social Science at the University of Exeter. In his research, he investigates political and electoral behaviour in advanced economies. In addition, in collaboration with the International Monetary Fund and the World Bank, he studies the economics and politics of climate change.

As a quantitative scholar, he uses causal inference and machine learning methods. Beyond his research, he has 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 at Oxford, LSE and Exeter.

Prior to his tenure at Exeter, he 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).

He is 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.