About Yeqing's Work
Computational modeller using agent-based modelling, machine learning, and data-driven analysis to study decision-making, trade-offs, and uncertainty in coupled human–environment systems, with applications across natural resource systems such as water resources and land use, and a growing focus on decision support under uncertainty.
I am currently a postdoc at Lund University developing an agent-based model for Sweden’s multi-use forestry transition. My previous research has focused on water-resource governance, wetland restoration dynamics, and environmental policy assessment.