About

Hi! I’m Zihan, a second-year Ph.D. student at University of Washington, Seattle, advised by Prof. Paul Kinahan (IEEE Life Fellow, FAAPM, FSNMMI, FAIMBE). I received my Master degree from the Department of Computer Science, UIUC in 2023.

My research focuses on the Multimodal Large Language Model including the vision-language model and medical image analysis. I am committed to helping doctors or researchers carry out quantitative analysis and treatment planning for tissues and organs of the human body by combining AI with medical images. I am currently a member of the AAPM-MIDRC subcommittee and MIDRC/CRP-12, dedicated to determining medical image data quality, provenance, and harmonization.

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My work and research

My current works focus on multimodal learning, including natural language and radiology reports. At the same time, I pay attention to the corner case datasets to alleviate AI Underrepresentation in the medical field. I have participated in multiple internships in both academia and industry. I have worked as a research intern at the University of Cambridge, Johns Hopkins University, and Peking University, as well as at Alibaba DAMO Academy and Shanghai AI Laboratory. I have worked closely with several respected professors including Prof. Alan L. Yuille, Prof. Pietro LiΓ², Prof. Dinggang Shen, Prof. Jie Tian, Prof. Yu Qiao, and Dr. Le Lu.

My background and history

I am pursuing my Ph.D. degree from University of Washington and I received my Master Degree from University of Illinois at Urbana-Champaign (UIUC) and received Bachelor Degree from Xiamen University.

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