Summary
Gianmarco Roggiolani is a PhD student at the University of Bonn with eight years of engineering experience focused on self-supervised learning for precision agriculture within the PhenoRob project. He holds a summa cum laude master’s in Artificial Intelligence and Robotics from Sapienza and a bachelor’s in Computer and Automatic Engineering, bringing strong theoretical grounding to applied research. His background includes an industry internship at Thales Alenia Space Italia working on satellite signal processing and an early excellence program project simulating nonlinear circuits, showing a blend of aerospace, embedded, and ML interests. Gianmarco combines practical engineering instincts—“make life easier and funnier”—with rigorous experimentation to push data-efficient methods for real-world sensing problems. Based in Bonn, he bridges academic research and engineering implementation, often focusing on solutions that scale from lab prototypes to field deployment. Notably, his trajectory crosses satellite systems and agricultural robotics, an uncommon mix that informs creative approaches to remote sensing and autonomous phenotyping.
8 years of coding experience
Master's degree, Artificial Intelligence and Robotics, 110 cum laude, Master's degree, Artificial Intelligence and Robotics, 110 cum laude at Sapienza Università di Roma