Iván Barberá Ph.D.

I build computer simulation models to explore how fire management strategies could help reduce the emission of greenhouse gases in a cost-effective way, specifically in Interior Alaska and the Northwest Territories, Canada.

Models are a bridge between ideas and data. A model states an idea precisely enough to be tested, and the data tell us how far to trust it. I have a strong background in Bayesian inference, which lets me glean insights from limited datasets.

I trained as a biologist, and was always drawn to the quantitative side of the field. During my Ph.D. studies, I became a data scientist and quantitative ecologist, studying fire in Patagonian forests and developing simulation models to inform management strategies. My hybrid background in ecology and modeling lets me use quantitative tools to solve real-world problems, with a clear understanding of both the ecological questions and the methods needed to address them.

Quantitative ecology is exciting in its own right, but I’ve always wanted my work to make a difference beyond academia. At Woodwell, I can contribute to something bigger than myself and conduct science with the support of an organization that empowers impact through communication, fundraising, and much more.