I am a Postdoctoral Research Associate at the University of Oxford. My research develops causal inference methodology for rare and extreme events, spanning causal discovery, extreme treatment effects, and climate event attribution. By combining causal inference with extreme value theory, I aim to support reliable decision-making in high-impact settings such as climate risk.
📢 News
Sep 2026 · Seminar talk, School of Mathematics and Statistics, University of Glasgow.
Aug 2026 · Joined the Smith School of Enterprise and the Environment, University of Oxford.
Thesis: Causal Inference in the Tails: Extreme Event Attribution, Treatment Effects, and Structural Discovery. Supervised by Dr. Daniela Castro-Camilo.
Master of Science in Statistics (with Distinction)
Extreme quantile treatment effects (eQTEs) measure causal impacts on outcome distribution tails. We propose the TIEE framework combining information across quantile levels with extreme value models, enabling causal inference for rare, high-impact events in environmental risk, economics, and public health.