Skill
Matplotlib
Related work and learning, in one place.
Experience
Research Intern
Streamlined ground-truth validation and eliminated a proprietary IDL dependency in NASA's MODIS Dark Target aerosol-retrieval pipeline; two tools filed as NASA New Technology Reports.
Research Assistant
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.
Teaching Assistant, Computational Physics
Spring 2019 appointment for Introduction to Computational Physics (PHYS 220).
Teaching Assistant, Computational Physics
Spring 2018 appointment for Introduction to Computational Physics (PHYS 220).
Computational physics teaching materials
My 2018 computational-physics teaching solutions implement trapezoidal and Simpson integration, bisection and Newton root finding, interpolation and linear regression in Python.
Projects
Earth-Science Data Tooling — Packaged Scientific Python
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.
Education
Electronics and measurement at UMBC
In Electronics for Scientists in Spring 2021, I completed CircuitLab simulations and worked in paired labs on passive and active filters, op-amp and timer circuits, and digital logic. My reports include circuit calculations, measured data, oscilloscope captures, error propagation, truth tables and flip-flop results. My homework fits exponential and sinusoidal models with SciPy and plots measurement uncertainties.