Lorenzo Giusti is a research-driven AI engineer and founder with 8 years of experience applying geometric and topological deep learning to real-world infrastructure problems. He holds a PhD in Topological Deep Learning and has driven high-impact projects at CERN and NASA JPL, including a patented Neural Radiance Fields system for Mars surface reconstruction published at ECCV. At CERN he built anomaly-detection and prescriptive-maintenance algorithms for complex systems, and now leads Agentic Gardening, focusing on AI agents for infrastructure automation. Comfortable moving between deep theory and production, he blends academic rigor from Cambridge and Sapienza with startup agility, and he’s been known to trade serious research insights for a good meme. Based in Geneva, he brings a rare mix of topological ML expertise, space-grade engineering, and practical agentic systems design.
8 years of coding experience
4 years of employment as a software developer
High School, Information Technology, High School, Information Technology at ITIS Galileo Ferraris
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at Sapienza Università di Roma
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Università degli studi Roma TRE
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