Ling Cao
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Ling Cao
Postdoctoral Scholar - Stanford Woods Institute for the Environment; Center on Food Security and the Environment
Type:
Postdoctoral Scholar
School:
Center on Food Security and the Environment
Research Area(s):
Food Security
Biography
Using derivative free methods, such as Particle Swarm Optimization and Mesh Adaptive Direct Search, to reduce the risk of leakage in carbon dioxide sequestration projects. The optimal well placement and rate of carbon dioxide injection is considered, as well as the placements and rates for water-injectors and producers. Stanford's GPRS is used extensively to model the sequestration into a brine aquifer with known geology. The extension of the method to models with uncertain geology is under investigation.Ling Cao completed her Ph.D. in Natural Resources and Environment at the University of Michigan, Ann Arbor. Trained as an agronomist and environmental scientist, she has focused on interdisciplinary research at the interface between the sustainability of food and natural systems. Her dissertation research quantitatively assessed the sustainability of emerging shrimp farming systems and technologies, and in particular focused on applying these results to producers and consumers in China and US. Currently, she is mainly working on issues related to aquaculture, fisheries, and food security in China.