A Spotlight on HaoKun Liu’s Work

HaoKun Liu is a 4th-year Ph.D. student in Computer Science at the University of Chicago. HaoKun is a researcher at the Chicago Human + AI Lab (CHAI), under the guidance of Professor Chenhao Tan. His research focuses on cutting-edge topics in natural language processing (NLP), explainable AI, and hypothesis generation.

At the core of HaoKun's work is a passion for developing interpretable AI systems that empower scientific discovery and enhance our understanding of the physical world. His projects emphasize transparency and accountability in AI, addressing critical challenges in making AI models both powerful and understandable.



By integrating advanced NLP techniques, HaoKun Liu's research contributes to the creation of tools that help researchers generate new hypotheses, paving the way for innovative discoveries across scientific disciplines. His efforts align with the growing demand for AI technologies that are not only effective but also ethically and scientifically grounded.

Are you curious about how explainable AI is shaping the future of science and technology? Dive deeper into HaoKun Liu’s research by visiting haokunliu.com. There, you can explore his publications, learn about ongoing projects, and connect to discuss collaborations.

Stay tuned for updates as HaoKun Liu continues to bridge the gap between AI systems and human understanding, driving innovation in the ever-evolving field of artificial intelligence.