Peter Pietrzyk is a research associate at Fraunhofer IIS with nine years of interdisciplinary experience applying imaging, sensor systems, and computational methods to plant phenotyping across scales from microscopy to field ecosystems. He holds a PhD in Plant Biology from the University of Georgia where he developed machine learning and image-processing tools to quantify root architecture and root hair responses to drought and nutrient stress. With an MSc in Geomatics and a BSc in Aerospace Engineering from TU Delft, he brings strong geospatial and remote-sensing expertise—previous work includes airborne laser scanning for forest monitoring and urban heat island modeling. He combines hands-on sensor calibration and 3D scanning with algorithm development, uniquely positioning him to translate controlled-environment phenotyping into scalable monitoring solutions for climate-resilient agriculture. An uncommon strength is his cross-domain fluency: from C++ geomatics prototypes and photogrammetry to plant-focused ML pipelines—which helps bridge lab-scale discovery and larger-scale remote sensing applications.
9 years of coding experience
8 years of employment as a software developer
Czech Technical University in Prague
University of Georgia
Master's Degree, Geomatics, Master's Degree, Geomatics at Delft University of Technology
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