Sarah Brood
PhD Candidate
Paris, Ile-de-France
Summary
🤩
RockstarSarah Brood is a PhD candidate based in Paris specializing in deep learning for remote sensing, focused on retrieving forest properties from satellite and aerial data. With four years of experience, she combines strong academic training at ENS Paris and LSCE with hands-on modeling of ecological signals in complex geospatial datasets. Her work sits at the intersection of machine learning and environmental science, translating remote sensing inputs into actionable forest metrics. She is comfortable navigating both research and code, evidenced by an active GitHub presence tied to her doctoral research. Colleagues describe her as methodical and curious, often blending domain knowledge with novel model architectures to tackle real-world monitoring challenges.
4 years of coding experience
Github Skills (16)
meshroom10
image-stitching10
computer-vision10
structure-from-motion10
texturing10
camera-calibration10
photogrammetry10
3d-reconstruction10
workflow-automation9
threejs9
vision-framework9
image-processing8
python7
sphinx4
documentation3
Programming languages (2)
Github contributions (5)
Garoli/satellite-image-cnn
Dec 2021 - Oct 2022
Contributions:1 push, 1 branch in 10 months
Garoli/eval-topo
Dec 2021 - Aug 2022
Contributions:3 pushes, 2 branches in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.