Roie Gilad is a Fulbright Scholar pursuing a Master of Science in Computer Science at Columbia University. He graduated magna cum laude with a Bachelor of Science in Computer Science and Psychology, with an emphasis in neuroscience, from Tel Aviv University. Throughout his academic journey, Roie has investigated the intersection of human and artificial cognition through the university research labs. To fund his studies, he also worked as a software engineer at an augmented reality startup, where he designed scalable distributed systems for the company’s data-generation platform.

Following his undergraduate studies, Roie joined Mobileye as a deep learning engineer, where he advanced computer vision models for core perception products, including the detection of crosswalks, stop lines, and speed bumps. Following his career, he stepped into a management role, leading a team of engineers and taking technical responsibility for four distinct perception products.

As an aspiring architect of human-aware AI, Roie is committed to bridging the gap between deep learning models and lived human experience. Through Columbia’s MS program, he aims to gain the advanced computational training and theoretical frameworks necessary to integrate causal AI and representation learning with human-centered intelligence. His early volunteer work with children, combined with observing the narrow, statistical limitations of industrial machine learning, has deeply reinforced his commitment to developing technology that evolves to complement, rather than just mimic, human intelligence.