Summary
Lorenzo Venturelli is a computer engineer and AI researcher with eight years of hands-on experience spanning embedded systems, mobile apps, and biomedical AI. Currently a Ph.D. candidate at KU Leuven’s LMIB, he develops representational learning methods to analyze biological tissues, bridging deep learning research with real-world biomedical problems. Previously he led Embedded R&D and architecture work at Microlog, shipping production firmware and guiding a small engineering team. His background combines low-level expertise on microcontrollers with higher-level AI model development, enabling pragmatic solutions across the stack. Lorenzo’s trajectory—from microcontroller internships to doctoral research—reflects a practical curiosity for translating constrained-device engineering into impactful AI-driven biomedicine. He is based in Leuven and brings both academic rigor and product-focused delivery to interdisciplinary projects.
8 years of coding experience
5 years of employment as a software developer
Ph.D. Biomedical Science, Ph.D. Biomedical Science at KU Leuven
Master's degree Computer Enginering, Master's degree Computer Enginering at Università degli Studi di Modena e Reggio Emilia
Secondary school Diploma IT and computer networks, Secondary school Diploma IT and computer networks at I.T.I.S. Fermi di Modena
English, Spanish, olandese, Italian