Tung Nguyen

@tungnd_13

Ph.D. Candidate @UCLA. AI for Science. Student Researcher @GoogleDeepMind and Research Intern @MSFTResearch @NVIDIAAI.

Los Angeles, CA

tung-nd.github.io

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Tung Nguyen
@tungnd_13
Jan 26, 2023
Introducing ClimaX, the first foundation model for weather and climate. A fast and accurate one-stop AI solution for a range of atmospheric science tasks. Paper: arxiv.org/abs/2301.10343 Blog: microsoft.com/en-us/research… Thread🧵 #ML #Climate #Weather #FoundationModel
Johannes Brandstetter and 3 others
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Tung Nguyen
@tungnd_13
Nov 26, 2025
I will be at @NeurIPSConf next week to present OmniCast – our latest work on generative modeling for weather forecasting. OmniCast achieves competitive performance across different time scales, while being 10x to 20x faster than leading methods like NeuralGCM or GenCast.
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Tung Nguyen
@tungnd_13
Jul 31, 2025
Glad to have contributed a small part to this great research led by @XingyouSong :)
Google Research
@GoogleResearch
Jul 31, 2025
Our new regression language model approach enables LLMs to predict industrial system performance directly from raw text data. Learn how we applied it to Borg, Google’s large-scale compute infrastructure for cluster management, & copy the code. → goo.gle/3JaS7Ha
GIF
Tung Nguyen
@tungnd_13
Jul 8, 2025
🚀 Introducing PhysiX: One of the first large-scale foundation models for physics simulations! PhysiX is a 4.5B parameter model that unifies a wide range of physical systems, from fluid dynamics to reaction-diffusion, outperforming specialized, state-of-the-art models.
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Tung Nguyen
@tungnd_13
Apr 21, 2025
Large language models (LLMs) have been explored for optimization via prompting to evaluate or improve candidate solutions. However, this approach does not generalize to domains that are either under-represented during pretraining or inefficient to translate as text. Our #ICLR2025
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