Thomas Robinson
Methodology · Machine learning · Causal inference
I am an Assistant Professor in the Department of Methodology at the London School of Economics and Political Science.
My research develops machine learning and deep learning methods for causal inference, with a focus on the design and analysis of experiments and surveys. I am particularly interested in missing data methods, treatment-effect heterogeneity, synthetic data, active learning, and the use of large language models in survey measurement — applied to questions about elections, money in politics, and public health.
You can find the latest version of my CV here, and reach me at t.robinson7@lse.ac.uk
