Summary
Stephan Borgloh is an engineering leader with 10 years of experience building data-driven systems that turn complex sensor and imagery inputs into actionable products, currently contributing to millimetre-accurate Earth observation at SkyGeo in New York. He has led engineering and data science teams as VP of Engineering and Technical Lead at Digital Harvest, delivering operational predictive yield models and field-level analytics with production-grade accuracy. Earlier roles at Gro Intelligence and Rockefeller University blend large-scale agricultural data platforms with deep expertise in imaging, computer vision, and automated analysis pipelines developed during a PhD in neuroscience. Stephan’s background uniquely marries hands-on hardware and optical systems work with scalable software and ML — from two-photon imaging denoising and ROI extraction to production remote-sensing feeds. He is comfortable shipping end-to-end solutions that bridge research prototypes and robust commercial systems, and often builds tooling that continues to be used and extended by other labs and teams.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at Max Planck Society
Bachelor of Science (BSc), Medical Microbiology, Bachelor of Science (BSc), Medical Microbiology at University of Leeds
Bachelor of Science (BSc) (1st year), Biomedical Sciences, General, Bachelor of Science (BSc) (1st year), Biomedical Sciences, General at James Cook University
German, English