Scientific Computing with Python
Austin, Texas • July 6-12
Registration - 100% Full



Kyle Mandli

My research is primarily concerned with how to apply finite volume methods, adaptive mesh refinement, and other computational science approaches to a variety of geophysical flow problems, including storm surges and tsunamis. These flows all have shallow water characteristics, which allow us to apply the same general methods to many different flows. My research specifically revolves around two main ideas: the first is to adapt current models so they can easily be solved in a depth averaged context, and the second is to implement robust and efficient solvers for the simulation of these flows. Additionally, I work to ensure that the solvers are accessible to the people who need them, e.g. debris flow modelers, field geologists, and others who are responsible for hazard preparation and response. Consequently, I strive to adhere to good software development practices, such as literate programming, and to design frameworks that are easy to extend and maintain.



Thursday 1:30 p.m.–2:15 p.m. in Room 204