Martha Morrissey
Machine Learning Solutions Lead at Development Seed
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolMartha Morrissey is a Machine Learning Solutions Lead with a decade of experience applying geospatial ML to sustainability, transportation, and disaster response. She has advanced from data engineering and research roles at DigitalGlobe and university labs to senior and staff ML positions at Pachama and leadership at Development Seed, blending field‑tested satellite imagery expertise with production ML delivery. Her work focuses on using earth observation and geospatial data to predict and respond to natural hazards while enabling carbon and conservation workflows. Based in Boulder, she pairs academic training in geography from UC Berkeley and CU Boulder with hands‑on product engineering to bridge research and operational systems. Colleagues describe her as a pragmatic problem‑solver who translates complex spatial science into scalable, impact‑focused solutions.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Geography, Bachelor’s Degree Geography at University of California, BerkeleyGeography, Geography at The University of QueenslandMaster’s Degree Geography, Master’s Degree Geography at University of Colorado Boulder
Github Skills (106)
notebook10
satellite10
planetary10
computer-vision10
satellite-imagery10
keras10
api9
api-platform9
deep-learning9
machine-learning9
minikube9
interaction9
jupyter9
hyperparameter-tuning8
neural-architecture-search8
Programming languages (6)
Github contributions (5)
martham93/map
Jan 2017 - Mar 2017
Contributions:25 pushes, 1 branch in 1 month
martham93/pixel-decoder
Feb 2019 - Mar 2019
A machine learning python package to run deep learning with satellite imagery
Contributions:13 pushes in 1 month
satellite-imagerypythondeep-learningsatelliteobject-detection
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