Matthew Kling
Gund Postdoctoral Fellow
Postdoctoral Researcher at the Department of Biology, University of Vermont
- PhD, Integrative Biology, UC Berkeley
- BA, Conservation Biology & Environmental Studies
Department of Biology
Area(s) of expertise
Conservation biology, global change, spatial ecology, biogeography, data science.
BIO
Matthew is a macroecologist, global change biologist, and data scientist. His research seeks to understand what shapes spatial biodiversity patterns at biotic scales ranging from genes to ecosystems, and to inform conservation under global environmental change. As a postdoc at the University of Vermont, he is working to develop and apply spatial modeling tools to understand how recent and future climate trends drive changes in ecological communities across the forested and agricultural landscapes of the Northeast. Matt completed his PhD in Integrative Biology at Berkeley, and his Bachelor’s in Environmental Studies and Conservation Biology at Middlebury College. Beyond academia, he has worked as a scientist for government, NGO, and private organizations in the environmental space. He is passionate about translational research, open science, and data visualization.
Publications
Bio
Matthew is a macroecologist, global change biologist, and data scientist. His research seeks to understand what shapes spatial biodiversity patterns at biotic scales ranging from genes to ecosystems, and to inform conservation under global environmental change. As a postdoc at the University of Vermont, he is working to develop and apply spatial modeling tools to understand how recent and future climate trends drive changes in ecological communities across the forested and agricultural landscapes of the Northeast. Matt completed his PhD in Integrative Biology at Berkeley, and his Bachelor’s in Environmental Studies and Conservation Biology at Middlebury College. Beyond academia, he has worked as a scientist for government, NGO, and private organizations in the environmental space. He is passionate about translational research, open science, and data visualization.