Tung Nguyen

I’m a fourth-year PhD candidate in Computer Science at UCLA, advised by Aditya Grover. I earned my Bachelor’s degree in Computer Science from the Hanoi University of Science and Technology. Prior to my PhD, I spent two wonderful years at VinAI Research as an AI Resident, where I had the privilege of working under the supervision of Hung Bui and collaborating with amazing colleagues like Rui Shu and Tuan Pham.
I’m always open to collaborations, discussions, and new opportunities. Feel free to reach out if you’re interested in my research or would like to discuss potential projects.
Research: My research focuses on building large-scale foundation models to support scientific discovery, particularly in areas related to climate change, sustainability, and the physical sciences.
1. AI for Scientific Simulation. I develop machine learning models to simulate real-world phenomena such as weather and climate dynamics using large-scale scientific datasets. These models aim to be accurate, adaptable, and capable of representing uncertainty in complex systems.
2. AI for Experimental Design. I also work on using AI to solve optimization problems in scientific and engineering domains, such as molecular design and drug discovery. My goal is to build generalizable models that can perform across tasks with limited supervision, offering efficient and robust tools for real-world scientific discovery.
Recent News
- LICO got accepted at ICLR 2025.
- Honored to receive the Outstanding Graduate Student Research Award, Department of Computer Science, UCLA.
- Stormer, ChaosBench, and Probing LLM got accepted at NeurIPS 2024. Probing LLM won the best paper award at the Foundation Model Interventions Workshop, NeurIPS 2024.
- Stormer won the best paper award at the Climate Change in AI (CCAI) Workshop at ICLR 2024.
- We released Stormer, which achieves state-of-the-art performance for data-driven weather forecasting.
- ExPT and ClimateLearn got accepted at NeurIPS 2023.
- Presented ClimaX at AGU Fall Meeting 2023, AI4ClimateScience at AAAI 2023, University of Cambridge AI4ER Seminar Series, Bureau of Meteorology – Australia, University of Leeds, University of Georgia, and University of Tennessee.
- ClimaX got accepted at ICML 2023 and won the best paper award at the Synergy of Scientific and Machine Learning Modeling Workshop, ICML 2023.
- ClimaX has been featured in major media outlets, including Washington Post, MIT Tech Review, InfoQ, and Nature.
- Honored to receive the Amazon Fellowship.
- We released ClimaX – the first foundation model for weather and climate.
- Transformer Neural Processes, my first paper as a PhD student, got accepted at ICML 2022.
- Started my PhD at UCLA, working with Adtitya Grover!