Gregor Steiner
I am a third-year student in the Mathematics & Statistics CDT at the University of Warwick, supervised by Prof. Mark Steel. My research focuses on causal inference and model uncertainty, primarily from a Bayesian (and post-Bayesian) perspective. I am particularly interested in making causal inference more robust by explicitly accounting for uncertainty about causal assumptions.
From September 2025 to February 2026, I was a visiting researcher at Nanyang Technological University Singapore, hosted by Jeremie Houssineau, where I worked on causal inference through the lens of possibility theory, an imprecise probability framework.
Before starting my PhD, I earned a BSc and MSc in Economics from WU Vienna and a BSc in Statistics from the University of Vienna. While completing my studies, I worked at the Centre for Medical Data Science at the Medical University of Vienna, where I developed and maintained statistical software.
For more details see my personal websiteLink opens in a new window.
Teaching
- Term 1, 2024/25: ST232 Introduction to Mathematical Statistics
- Term 2, 2023/24: ST231 Linear Statistical Modelling with R
Contact
gregor.steiner [at] warwick.ac.uk