Ray Han, PhD, is an applied-AI practitioner and educator who builds real-world systems at the intersection of data, AI, and investigations. Trained in Computer Science (PhD, Nanyang Technological University) with executive education at Stanford GSB, he has spent a decade deploying machine learning and AI solutions across complex enterprises—spanning NLP, computer vision, retrieval, and model governance. Ray teaches and speaks widely, including practitioner-focused sessions with SMU Academy and ISCA, translating cutting-edge methods into workflows that professionals can actually use. He is an active advisor to innovation programs and startups.