Simran Sangha
Signal Analysis Engineer at NASA Jet Propulsion Laboratory
Pasadena, California, United States
Summary
👤
Senior🎓
Top SchoolSimran Sangha is a Signal Analysis Engineer at NASA JPL with nine years of experience applying geologic training and remote sensing to quantify crustal deformation and atmospheric effects. She develops and validates interferometric time-series products for OPERA and contributes to open-source tools like ARIA-tools, RAiDER and MintPy—where her backend work improved data compatibility and processing robustness. Her PhD in Geology from UCLA underpins a rare combination of field-focused earth science insight and production-grade software engineering for InSAR and tropospheric correction workflows. Based in Pasadena, she’s supported high-profile case studies from induced seismicity in Oklahoma to major earthquakes in Nepal and Sarez Lake, and she brings a consistent track record of turning research-grade algorithms into operational products.
9 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Geology/Earth Science, General, Bachelor's Degree, Geology/Earth Science, General at Occidental CollegeDoctor of Philosophy (Ph.D.), Geology/Earth Science, General, Doctor of Philosophy (Ph.D.), Geology/Earth Science, General at University of California, Los Angeles
English, Punjabi, Hindi
Github Skills (10)
insar10
raid10
time-series10
python10
geodesy10
rad10
data-processing10
numpy10
gdal9
hdf8
Programming languages (6)
Github contributions (5)
insarlab/MintPy
Apr 2020 - Oct 2021
Miami InSAR time-series software in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 reviews, 6 commits, 13 PRs in 1 year 5 months
Contributions summary:Simran contributed significantly to the `mintpy` repository, primarily focusing on bug fixes and feature additions related to data processing and analysis. They addressed issues in the `prep_aria` module and added support for the GACOS .tif format, enhancing the software's data compatibility. Further work included modifying the `reference_date` functionality and adding features to the `deramp` module to save estimated coefficients, improving data handling and analysis capabilities within the InSAR time-series processing workflow.
sentinel-1tectonicspythontime-series-analysismiami
sssangha/RAiDER
Jun 2020 - Oct 2021
Raytracing Atmospheric Delay Estimation for RADAR
Contributions:60 pushes, 27 branches in 1 year 3 months
atmosphericradardelayestimationraytracing
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