I am a Research Scientist at Google Research. My long-term research goal is to architect Native Omni Models as the cognitive engine for ASI. I focus on building multimodal foundation models to create unified generalist agents capable of mastering complex digital and physical environments.

I am currently exploring the intersection of Efficient AI, Multimodal AI, and System 2 Reasoning, specifically:

• Scaling unified transformers on internet-scale multimodal data to build high-fidelity generative world models.
• Making generation streaming and low-latency enough to run in real time—treating latency as a first-class research problem rather than an afterthought.
• Connecting multimodal generative models with causal and physical consistency as a path from passive generation toward agents that act.

I am open to discuss the future of Multimodal LLMs, Multimodal Generative AI, World Models, and Agentic Foundation Models. I welcome collaborations across industry and academia. Authorized to work in US and Australia.

To accelerate the advent of machine intelligence and sustainable future