About
Michael is an Assistant Professor in Computational Social Science at the University of Exeter. In his research, he is investigating political and electoral behaviour in advanced economies. Furthermore, 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 mainly uses causal inference and machine learning methods. Beyond his research, he has been teaching graduate (Bsc, 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 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. He holds 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).
For more information can be found on his website or his Google Scholar.
Expertise
Political Economy, Public Opinion, Political Behaviour, Machine Learning, Causal Inference, Geospatial data
Publications
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