About
Moy Yuan
Applied Scientist at Amazon AGI
PhD candidate at University of Cambridge
Bio
I am Moy (Zhangdie) Yuan, an Applied Scientist at Amazon AGI, where I work on the post-training and alignment of multimodal foundation models. My work contributes to the Nova family of models, including the audio-centric Nova Sonic, and powers next-generation experiences for Alexa+ which serve millions of users worldwide.
Beyond building capable voice interfaces, my research focuses on the fundamental reasoning capabilities of these systems. I am particularly interested in developing World Models that can accurately represent and anticipate changes in the real world. This involves moving beyond static benchmarks to predict unfolding events while ensuring outputs remain factual and grounded in reality.
I recently finished my PhD thesis on Language Models as Forecasters and am awaiting my viva at Cambridge, advised by Andreas Vlachos. My PhD was generously funded by the ERC and Trinity Hall. Before Cambridge, I completed my BSc in Computer Science from Edinburgh.
Research Focus
Latest Updates
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Feb 2026
Alexa+ is now generally available in the US. This next-generation assistant is built on a new agentic architecture and can be accessed across devices and via the web interface.
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Jan 2026
New paper EvolveCast on LLM-based forecasting by leveraging real-time news is available.
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Dec 2025
Amazon Nova 2.0 has officially launched. You can explore the model family or view the benchmark results on Artificial Analysis.
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Dec 2025
Attended NeurIPS 2025, where our paper FOReCAst on LLMs for forecasting was accepted.
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Nov 2025
Attended EMNLP 2025 to present LLMs for clinical coding, a paper developed during my internship at AWS AI.
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Oct 2025
Joined Amazon AGI as an Applied Scientist after completing my time with the CambridgeNLP group at the Computer Lab.