Daniel S. Fenn
Dr. Dan Fenn is a Computational Scientist at Lawrence Livermore National Laboratory. His primary field of interest is physics simulation, including computational fluid dynamics, astrophysics, and plasma opacity. An additional field of interest is the application of machine-learning methods to physics simulation software. Prior to his current position, Dan worked as a civilian with HQ AF/A9, where he applied high-performance computing methods to USAF problems of interest. He earned a PhD in Computational Physics from Florida State University, and a BS in Physics from Utah State University.
Follow Daniel S.
Many large organizations have risk that propagates because of the dependencies between their various major organizational components. This paper addresses when cycles of dependencies exist in an organization or system of systems.