Delong Chen is a researcher and entrepreneur specializing in machine learning and computer vision, currently serving as a Founding Team Member. Chen's work sits at the intersection of vision-language modeling and self-supervised learning, reflecting a research trajectory that has brought him into collaboration with some of the leading figures in modern AI.

Chen pursued his doctoral studies in Electronic and Computer Engineering (ECE) at the Hong Kong University of Science and Technology (HKUST), where he developed expertise in deep learning and multimodal representation. Prior to his founding role at AMI Labs, he served as a Visiting Researcher at Meta's Paris research laboratory, an experience that placed him within one of the most prominent AI research environments in Europe and exposed him to large-scale work in self-supervised and joint-embedding architectures.

Chen's research contributions have centered on vision-language world modeling, with a notable focus on VL-JEPA (Vision-Language Joint-Embedding Predictive Architecture), a framework that extends the JEPA line of research pioneered by Yann LeCun toward multimodal understanding. This work aligns closely with the theoretical agenda of learning abstract, predictive world models rather than relying solely on generative or contrastive approaches, representing a meaningful contribution to the foundational debate in contemporary AI research.