We build process-based ecosystem models that treat microorganisms as active participants in biogeochemical cycling, and test them against field and laboratory data across peatlands, forests, and croplands.
Research Areas¶
Plant–microbe interactions and mycorrhizal ecology
Process-based ecosystem and biogeochemical modeling
Peatland carbon and nutrient cycling
Enhanced rock weathering and soil-based carbon dioxide removal
Microbial trait representation in Earth system models
Knowledge-guided machine learning and ecosystem digital twins
Grants¶
Funded¶
As Co-PI
Shao, S. (Co-PI). “Transforming subsurface prediction with an autonomous, multi-agent AI workflow for multi-scale coupled bio-hydrogeochemical modeling.” Department of Energy, Genesis Mission. $585,000. 2026--2027 (Phase I).
As Contributor
“From early Earth to Mars: Advancing an integrated ‘Landscape Terraformation science’ of how life transforms planets with a multi-scale collaboratory digital twinning of Biosphere 2.” University of Arizona, Big Idea Challenge. $250,000. 2025--2027.
See also: Publications · Talks & Presentations · Software & Models