About
I’m a Scientific Software Engineer with the GeoCAT team at the NSF National Center for Atmospheric Research, where I develop UXarray, a Python library designed for analyzing and visualizing unstructured-grid datasets.
My work centers on harnessing Python’s versatility in scientific computing to enable sophisticated analyses without sacrificing performance. By integrating modern, high-performance libraries such as Numba, Dask, and CuPy, as well as targeted extensions written in C++ and CUDA, I create intuitive, scalable Python APIs suitable for environments ranging from individual workstations to high-performance computing clusters.
Collaboration is central to my approach. I partner closely with engineers, researchers, and domain experts, effectively bridging scientific rigor with robust software engineering. My primary goal is to transform complex geoscientific challenges into accessible, user-centric tools, simplifying data ingestion and enabling interactive visualizations, allowing researchers to fully focus on discovery.