Bradley Dice is a GPU-Accelerated Data Analytics Software Engineer on the RAPIDS team at NVIDIA, designing high-performance open-source libraries for data analytics (cuDF) that leverage CUDA, C++, and Python. He completed his PhD in Physics and Scientific Computing at the University of Michigan in Ann Arbor in the Glotzer Group, as a National Science Foundation Graduate Research Fellow and MolSSI Software Fellow. Bradley attended William Jewell College in Kansas City, where he triple-majored in Physics, Chemistry, and Mathematics. He holds a strong passion for applying computation, simulation, and cutting-edge data science to understand and improve our world.
At the University of Michigan, Bradley’s doctoral research focused on using machine learning to design, simulate, and study materials at the nanoscale. Bradley is a maintainer and lead developer of multiple open source scientific software packages, including the freud analysis library for particle simulations (cited in over 130 academic publications) and the signac data management framework (cited in over 100 academic publications).
Bradley enjoys playing jazz piano, producing electronic music, DJing, creating algorithmic art, canoeing, and riding motorcycles in Colorado.