computational ecology

We use thinking-boxes and a lot of numbers to learn about where animals and green things live, and what they eat.

We use mathematical and computational tools to address questions in community ecology and biogeography, with a particular focus on the structure of ecological networks and species interactions. Our interests include simulations, data analysis, machine learning, deep learning, and as little field work as possible. We believe in open science, in ecological synthesis based on open data, and in actionable fundamental research.