I am a computational scientist and software developer. I am currently a software engineer at NVIDIA, where I work on the RAPIDS team to develop GPU-accelerated tools for data science and machine learning. I have expertise with multiple levels of the scientific computing stack, including building tools that integrate Python, C/C++, and CUDA into fast and easy-to-use systems. Prior to joining the RAPIDS team I completed my Ph.D. in Chemical Engineering and Scientific Computing in Sharon Glotzer‘s research group at the University of Michigan, where I worked on self-assembly problems in soft matter physics. The primary focus of my research was expanding the range of applicability of the highly coarse-grained models that have been used to successfully predict the behavior of colloidal systems over the past decade. My research has been featured in numerous journals, including Nature Chemistry, Computer Physics Communications, and the Journal of Molecular Modeling.
As part of my research, I became extensively involved with the development of open-source scientific software and I continue to maintain that involvement. I am a lead developer for both the data and workflow management framework signac and the particle simulation analysis package freud. I created the rowan package for quaternion mathematics as well as the coxeter package for geometric calculations, particularly those involving polytopes in two and three dimensions. In addition to these efforts that I lead or co-lead, I am also a core developer for the high-performance particle simulation engine HOOMD-blue, one of NVIDIA’s official HPC benchmarks that scales from single CPUs to leadership-class GPU supercomputers.
