Annalisa Quaini is an associate professor of mathematics at the University of Houston. She is interested in the development and implementation of computational methods for partial differential equations (PDE), with a particular focus on computational fluid dynamics. Her research thus far has been related primarily to PDE problems arising in biomedicine and biomedical engineering applications.
At the Radcliffe Institute, Quaini is redirecting her experience in computational fluid dynamics to climate-related applications. While mitigation measures (such as the deployment of clean energy) are being put into effect globally, it has become clear that strategies that can delay catastrophic climate destabilization are urgently needed. The primary tool for evaluating the effectiveness of these strategies are global climate models, whose major source of uncertainty is the representation of clouds. The aim of Quaini’s project is to apply state-of-the art computational methods to complex cloud and cloud-aerosol interaction models in order to improve global climate models.
After receiving a PhD from the École Polytechnique Fédérale de Lausanne, in Switzerland, Quaini became a faculty member at the University of Houston. Her research had been supported by several National Science Foundation grants.