Mbaye Modou
Geospatial Analyst
Thiès, Senegal
Summary
👤
Senior🎓
Top SchoolMbaye Modou is a geospatial analyst and researcher with 11 years of experience applying satellite, drone and cosmic-ray sensor data to environmental and agricultural challenges across West Africa. Holding a PhD in Engineering Physics from UCAD, he built a calibrated regional soil moisture model and has applied Bayesian and MCMC methods to sediment fingerprinting and other advanced statistical problems. At ISRA/CERAAS and through roles with IAEA and SERVIR, he blends machine learning, Google Earth Engine cloud workflows, and sensor fusion (multispectral, LiDAR) to develop operational geospatial solutions and crop phenotyping algorithms. He also trains university students and practitioners across Africa, translating research-grade methods into practical tools for decision makers. Notably, he is developing AI-driven multispectral imaging approaches that bridge UAV and satellite scales to enhance phenotyping and regional monitoring.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Engineering Physics/Applied Physics, Doctor of Philosophy - PhD, Engineering Physics/Applied Physics at Université Cheikh Anta Diop de Dakar (UCAD)
Github Skills (3)
risk-assessment9
verification8
monitoring6
Github contributions (5)
mmbaye/INT5156-Wetlands
Jan 2023 - Feb 2024
Contributions:5 pushes, 1 branch in 1 year
mmbaye/Breeding4Dummies
Feb 2024 - Feb 2024
Contributions:21 pushes in 4 days
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