Dr. Alexandre Urpi is a research scientist at the MIT Auto-ID lab, where he specializes in human-computer interaction, 3D computer vision, and augmented reality. His research focuses on capturing and transferring human expertise through hybrid brain–computer and gaze-based interfaces. During his PhD at the lab, supported by “La Caixa” Fellowship, Alex developed systems that use eye-tracking and EEG signals to uncover tacit knowledge—insights we possess but often cannot verbalize—and demonstrated their potential to enhance human training, feedback, and AI models. His work bridges cognitive science and sensing technologies across a wide range of applications, including AI-augmented AR training tools, surgical augmented reality systems, wearable biosignal monitoring, and brain-controlled virtual environments. He has also identified critical security vulnerabilities in brain–computer interface systems, highlighting the need for more robust safeguards in neurotechnology. With a multidisciplinary background spanning academia, healthcare, and industry, Alex’s work advances how machines interpret, respond to, and learn from human behavior.