Phillip is an Application Performance Engineer at NERSC. His areas of expertise include Fortran, GPU programming, and algorithms related to tackling the Curse of Dimensionality. His efforts at NERSC involve improving the performance of material science applications. He currently works in the BerkeleyGW project developing a GPU implementation for StochasticGW, a code for computing excited states of very large material systems.

Before coming to NERSC, Phillip developed compute kernels for Wave Computing in Santa Clara, California.

Prior to that Phillip worked as a post-doctoral researcher in quantum reaction dynamics at Queen's University in Ontario, Canada, and at Leiden University in the Netherlands. He also has experience in experimental molecular spectroscopy from a post-doctoral fellowship at The Ohio State University. Phillip's Ph. D. thesis topic was spectroscopy and simulation of reactive organic molecules.

Area of Interest

• Atomic, Molecular, Nuclear, Particle and Plasma Physics
• Physical Chemistry (incl. Structural)
• Theoretical and Computational Chemistry

Education

• BS| Wingate University, Wingate, United States
• PhD| University of Wisconsin–Madison, Madison, United States