Summary
Michael Zelinski is a research and development scientist and image scientist with a decade of experience applying physics, statistics, and efficient programming to remote sensing and computer vision problems. He combines deep expertise in Fourier optics, hyperspectral and satellite imaging, and radiometry with practical ML/DL for object localization, change detection, and instance retrieval at Lawrence Livermore and Google. His graduate work on segmented-aperture space telescopes informs a systems-level view that links sensor design, calibrated measurements, and end-task image utility. A conference chair and journal reviewer, he also serves as an expert legal witness, reflecting both technical depth and real-world impact. Based in Emeryville, CA, he brings a multidisciplinary approach—blending optimized hardware, algorithmic rigor, and field experience—to challenging GeoAI and remote sensing problems.
10 years of coding experience
17 years of employment as a software developer
Bachelor of Science (B.S.), Imaging Science, Bachelor of Science (B.S.), Imaging Science at Rochester Institute of Technology
English, Danish