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I am on the 2026–2027 econ job market. 

Job Market Paper: "Double Machine Learning for Static Panel Data with Instrumental Variables: New Method and Applications"  [draft]

I am a British Academy Postdoctoral Fellow at the Institute for Social and Economic Research (ISER), University of Essex. I develop econometric methods for causal analysis and policy evaluation with panel data, specialising in double machine learning (DML), and for the detection of anomalous observations, with applications in labour, migration, and health economics.

My work contributes to bridging modern machine learning methods for causal inference with established panel data methods, expanding the scope of causal machine learning in applied research.

CV · GitHub· Google Scholar

Essex Summer School Course: Machine Learning For Estimating Treatment Effects From Observational Data (with Damian Machlanski).