Hello, I'm Julian!
I'm an undergrad at Stanford interested in large scale models of the human experience.
Most recently, I was a researcher at World Labs. Before that, I co-created Oasis, the first realtime world model with a playable demo. And prior to that, I optimized inference for the first era of large language models at Cohere and MosaicML.
Highlighted Work
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WorldGym: World Model as An Environment for Policy Evaluation Julian Quevedo, Ansh Kumar Sharma, Yixiang Sun, Varad Suryavanshi, Percy Liang, Sherry Yang [arxiv] [website] [code] |
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Real-Time Frame Model World Labs [blog] |
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Oasis: A Universe in a Transformer Decart & Quevedo, et al. [blog] [demo] [code] Press: TechCrunch |
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Serving Quantized LLMs on NVIDIA H100 Tensor Core GPUs Nikhil Sardana, Julian Quevedo, Daya Khudia [blog] |
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LLM inference performance engineering: Best practices Megha Agarwal, Asfandyar Qureshi, Nikhil Sardana, Linden Li, Julian Quevedo, Daya Khudia [blog] |
github | twitter | google scholar | linkedin
I would love to hear from you: julianq@stanford.edu





