About

Hi! I’m Zihan, a third-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 Pretraining and Optimization of Multimodal Foundation Model, Supervised Fine-Tuning and Alignment of Vision-Language Model, Autonomous Agentic LLM, and Large-scale Data Harmonization. I am also committed to carrying out quantitative analysis for tissues and organs of the human body and determine treatment planning by combining AI with healthcare data. I am currently a member of the AAPM-MIDRC subcommittee and MIDRC/CRP-12, dedicated to determining medical image data quality, provenance, and harmonization. Open to future collaboration on any interesting project, I’d be delighted to engage in further conversation via Email.

I am on the job market and actively seeking research scientist/academic position opportunities starting in Summer 2027!

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My work and research

My current works focus on multimodal foundation model and agentic AI. 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 Optum AI (UnitedHealth Group), Siemens Healthineers, Alibaba DAMO Academy and Shanghai AI Laboratory. I have worked closely with several respected professors including Prof. Alan L. Yuille, Prof. Pietro Liò, Prof. Sina Farsiu, Prof. Jeffrey Bradley, Prof. Dinggang Shen, Prof. Jie Tian, Prof. Yu Qiao, Dr. Ali Kamen and Dr. Le Lu.

My background and history

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

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