Alexandre Schimel is a hydrography data specialist and researcher with 11+ years applying underwater acoustics, signal and image processing to multibeam, sidescan, lidar, drone and satellite data. He holds a PhD in Earth and Ocean Sciences and combines deep domain expertise in active-sonar physics with practical coding skills in MATLAB and Python, authoring the open CoFFee multibeam processing toolbox. His work spans academic and applied roles—from NIWA and the Geological Survey of Norway to industry at Deep BV—where he develops methods to estimate kelp biomass, infer seabed sediment from backscatter, and accelerate video analysis with deep learning. Comfortable bridging research and operational hydrography, he brings a rare mix of theoretical acoustics, hands-on survey experience, and reproducible tooling that speeds marine remote-sensing workflows.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Earth and Ocean Sciences, Doctor of Philosophy - PhD, Earth and Ocean Sciences at University of Waikato
Master of Engineering - MEng, Signal Processing, Underwater Instruments, Master of Engineering - MEng, Signal Processing, Underwater Instruments at ENSTA Bretagne
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