Research lies in data science, machine learning, and AI.
Aims to build advanced large language models (LLMs) and AI agents for complex task-solving and decision-making.
Technical focus includes data efficiency, computation efficiency, and model robustness.
Deeply interested in leveraging foundation models to advance AI for scientific discovery.
Current research themes: LLM post-training for agents, safe and trustworthy AI, datasets/evaluation/benchmarks, and AI for scientific discovery (e.g., time series analysis, material science, biomedical and life sciences).