Kate Clark joined NVIDIA in 2011, where she works at the interface between applications, algorithms, and parallel computation. Kate's background is in high-energy physics, having completed doctoral research in Monte Carlo algorithms for lattice quantum chromodynamics in 2005, graduating from the University of Edinburgh. Upon subsequently moving to Boston University, Kate focused upon adaptive multi-grid algorithms and symplectic integrators. It was during this time that research was initiated into harnessing GPUs for lattice QCD computation: this research has since evolved into the QUDA library. Kate spent 2009-2011 at Harvard University, continuing to work on algorithms for GPUs and many-core processors, with focus on signal processing.