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Skill

netCDF4

Related work and learning, in one place.

Experience

  • Research Assistant

    UMBC — Department of Physics, ACROS Group · Aug 2017 – Jun 2020

    Atmospheric remote-sensing research on UMBC’s Taki supercomputer. NSF CyberTraining research in fall 2019 and coursework in spring 2020 were part of this longer appointment, with stipend support.

Projects

  • Earth-Science Data Tooling — Packaged Scientific Python

    Project

    I developed scientific-data tools through NASA internships and UMBC research, including conversion to netCDF4 and parsing into pandas DataFrames. cosmic-crunch and noaa-gml-file-reader are published on PyPI; I also contributed to collaborative cloud-anomaly analysis.

  • ncarnate — Legacy Scientific Data to Modern netCDF4

    Project

    I rebuilt ncarnate to convert supported HDF4 and netCDF data into netCDF4, verify stored values against the source, and reconstruct coordinates for supported satellite grids and swaths. The Python CLI and library are published on PyPI and conda-forge.

Writing