Summary
Alessio Xompero, PhD is a multidisciplinary AI researcher and engineer with 10+ years advancing computer vision, multimodal perception, and privacy-preserving machine learning for robotics and real-world systems. He combines rigorous academic output (multiple journal and conference papers, a book chapter) with open-science impact—creating datasets, toolkits and OSS libraries like MORB and LODE—and has repeatedly led community challenges and workshops at major venues (ICRA, IROS, CVPR). His work spans adversarial privacy (membership inference and defenses), vision-language open-vocabulary detection and re-identification, graph-based explainability, and decentralized multi-camera 3D reconstruction, with practical experience deploying PEFT and LoRA on vision transformers in industry R&D. Alessio blends hands-on systems engineering (Python, PyTorch, C/C++, OpenCV) with grant and editorial leadership, and has guided competitions that tripled participant engagement, reflecting both technical depth and community-building skill. Open to roles across academia, research labs, and industry, he is especially interested in projects that marry responsible AI, reproducibility, and robot perception for tangible real-world impact.
10 years of coding experience
1 year of employment as a software developer
Master's Degree, Telecommunications Engineering, Master's Degree, Telecommunications Engineering at Università di Trento
Doctor of Philosophy (Ph.D.), Electronic Enginerring and Computer Science, Doctor of Philosophy (Ph.D.), Electronic Enginerring and Computer Science at Queen Mary University of London
Italian, English, French, Spanish