Fan-Yun Sun co-founded and leads Moonlake AI, building world models and simulation tools for embodied AI. His research spans generative 3D environments, robotics training data and causal reasoning, following work at Stanford and NVIDIA.

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Fan-Yun Sun co-founded and leads Moonlake AI, building world models and simulation tools for embodied AI. His research spans generative 3D environments, robotics training data and causal reasoning, following work at Stanford and NVIDIA.

Career

Co-founder & CEO at Moonlake AI until Present
moonlakeai.com

Efficient World Models

Co-authored with Chris Manning and Ian Goodfellow, an argument for causal world models built around useful abstractions and action-conditioned data.

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ai.stanford.edu

3D-Generalist

A co-authored research project on generating and editing controllable 3D environments for synthetic data and embodied AI.

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Fan-Yun's Collections

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