Kaize Ding

Kaize Ding is an Assistant Professor in Statistics and Data Science at Northwestern University, leading the REAL Lab and affiliated with the IDEAL Institute. He holds a Ph.D. in Computer Science from Arizona State University (2023) under Prof. Huan Liu, with prior degrees from Beijing University of Posts and Telecommunications. His research focuses on reliable AI systems for autonomous decision-making, knowledge-guided algorithms using GNNs/LLMs, and applications in healthcare, environmental science, and cybersecurity. Collaborations include Google Brain, Microsoft Research, and Amazon Alexa AI.

Education:

• Ph.D. in Computer Science, Arizona State University (2023)
• M.S. and B.S., Beijing University of Posts and Telecommunications

Research Interests:

• Developing robust AI for decision-making under uncertainty
• Graph-based machine learning for anomaly detection and network analysis
• Large language models (LLMs) integrated with domain-specific knowledge
• Cross-domain applications in healthcare diagnostics, environmental monitoring, and cybersecurity

Recent Activities:

• Received Amazon Research Award and Google Research Grant
• NeurIPS 2025 Area Chair and ARR Area Chair
• Postdoc opening in AI4Health for swallowing disorder research
• Recent publications at AAAI, NeurIPS, EMNLP, and KDD

Lab & Team: The REAL Lab focuses on advancing AI through interdisciplinary projects. Current students include Ruiyao Xu (PhD), Qingcheng Zeng (co-advised), and over 10 master's/undergraduate researchers. Alumni have moved to top PhD programs at UVa, UIC, and JHU.