I’m a statistician who builds interpretable models for messy observational data, along with the software to run them reliably at scale.
At the Natural History Museum in London, I lead the modelling and engineering behind the Biodiversity Intactness Index. This involves hierarchical mixed-effects models fitted to heterogeneous data pooled from many independent field studies, then projected globally.
Before that, I did a PhD in statistics at the University of Western Australia and a postdoc at the University of Cambridge, developing Bayesian methods for combining mechanistic models with data when those models are known to be wrong (PNAS, 2021).
