Bane Sullivan comes from a background in applied earth sciences and has been contributing to open-source software at the intersection of geophysics, 3D visualization, and reproducible computing. Bane earned a B.S. in Geophysical Engineering with a minor in Computer Science and an M.S. in Hydrological Science from the Colorado School of Mines.
During his graduate research, Bane led the development of PyVista: a streamlined and intuitive Python interface to the Visualization Toolkit (VTK). Through his graduate research and the PyVista ecosystem of software, Bane’s focus has been to make 3D visualization and analysis tools more accessible to researchers. In essence, helping geoscientists visualize their 3D/4D data, communicate their spatial findings, and enable data traceability in their research.
Bane is always looking for ways to make an impact in his work, and he carries the sentiment that scientific findings should be reproducible, not only by other researchers but also by stakeholders of the science at hand. This perspective has Bane excited to join the Data & Analytics team and explore new ways to make waves in scientific computing!