I am an incoming PhD student in the Department of Computer Science at Rice University, advised by Prof. Andrew H. Song. I received my B.S. in Computer Science from the Paul G. Allen School of Computer Science & Engineering at the University of Washington.

At UW, I was advised by Prof. Sheng Wang and mentored by Hanwen Xu. I also had the pleasure of collaborating with Prof. Lucy Lu Wang, mentored by Donghoon Shin and Bingbing Wen.

My research interests lie at the intersection of AI and medicine, with a focus on computational pathology, AI for healthcare, multimodal AI, and reasoning LLMs. I am broadly interested in building intelligent systems that can understand and reason over complex biomedical data to advance clinical discovery and patient care.

🔥 News

2026.04: 🎉 I will be joining Rice University as a PhD student in Computer Science in Fall 2026!
2026.03: 🎓 I graduated with a B.S. in Computer Science from the University of Washington.
2025.11: 📄 Our paper PathReasoning is now available on arXiv! (Extended version of our CVPR workshop oral.)
2025.06: 🏆 Our paper GigaVisualReasoning received an Oral Presentation at the CVPR 2025 MMFM-BIOMED Workshop! (Poster)

📝 Publications

arXiv 2025

PathReasoning: A Multimodal Reasoning Agent for Query-Based ROI Navigation on Whole-Slide Images

Kunpeng Zhang, Hanwen Xu, Sheng Wang

A multimodal reasoning agent that navigates gigapixel pathology slides to identify diagnostically relevant regions, guided by clinical queries and interpretable reasoning chains.

📖 Educations

2026.08 - present, Ph.D. in Computer Science, Rice University, Houston, TX.
2022.09 - 2026.06, B.S. in Computer Science, University of Washington, Seattle, WA.

💬 Invited Talks

2025.06, Oral Presentation at CVPR 2025 MMFM-BIOMED Workshop, slide

💻 Teaching

2025.09 - 2025.12, CSE 415: Introduction to AI, UW.
2025.01 - 2025.03, CSE 473: Introduction to AI, UW.

🏸 Misc