Moy Yuan is an applied scientist focused on multimodal post-training and LLM forecasting, with eight years of experience bridging cutting-edge research and high-impact product work. Currently at Amazon on Nova models and Alexa applications and a visiting researcher at the University of Cambridge, he brings a research-first approach informed by a PhD (Distinction) from Cambridge and a first-class BSc from Edinburgh. Moy has applied fine-tuning expertise across domains including Health AI at AWS, translating academic advances into production-ready systems. He is driven by a long-term vision to build AI that perceives the present and predicts the future, and maintains a public-facing portfolio at moyyuan.com that surfaces his forward-looking work. An uncommon strength is his combined role across industry and academia, enabling rapid iteration between prototype research and deployed multimodal models.
7 years of coding experience
B.S. Computer Science First, B.S. Computer Science First at The University of Edinburgh
Ph.D. M.Phil. Computer Science Distinction, Ph.D. M.Phil. Computer Science Distinction at University of Cambridge
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