Jieke (Jack) Wu
Graduate Student at KAUST | AI Research
Thuwal, Saudi Arabia
jieke.wu@kaust.edu.sa
I’m Jieke (Jack) Wu (武杰克), a graduate student at King Abdullah University of Science and Technology (KAUST), pursuing MS/PhD in Computer Science. I am a member of the Intelligent Systems Lab, led by Prof. Basem Shihada, where I focus on cutting-edge research at the intersection of artificial intelligence, multi-agent systems, and scientific discovery.
My research journey began at the Department of Life Sciences and Medicine, University of Science and Technology of China (USTC), where I earned my B.S. in Biological Technology. This interdisciplinary background has uniquely positioned me to bridge the gap between traditional biological research and modern computational approaches.
My current research interests focus on:
- AI Scientist: Developing autonomous AI systems for scientific discovery and research automation
- Self-Improving AI: Building systems that can iteratively improve their own capabilities and reasoning
- Multi-Agent RL: Exploring multi-agent reinforcement learning frameworks for complex collaborative tasks
- AI4AI / AI4SCI / AI4Video: Applying AI to advance AI itself, scientific computing, and video understanding
I am actively researching generative models including diffusion models and flow matching techniques, as well as developing intelligent multi-agent systems for various applications in AI research and scientific discovery.
If you are interested in collaborating on research projects or would like to discuss potential opportunities, please feel free to contact me at jieke.wu@kaust.edu.sa.
selected publications
- Training-free Design of Augmentations with Data-centric PrinciplesIn ICML 2024 AI for Science Workshop, 2024
- D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob’s h-TransformIn Advances in Neural Information Processing Systems (NeurIPS), 2026