Hui Lin

Hui Lin, PhD is an Assistant Professor in the Department of Radiation Oncology at the University of California, San Francisco (UCSF) School of Medicine. She specializes in developing computational frameworks that integrate imaging, biological, and clinical data to transform cancer diagnosis and treatment, with particular emphasis on brain cancer care using Artificial Intelligence.

Dr. Lin's research interests focus on advancing brain cancer care through AI-driven approaches. Her work integrates imaging, biological, and clinical data to transform cancer diagnosis, prognosis, and therapeutic decision-making. She has developed advanced computational frameworks that bridge cutting-edge technology with clinical practice to improve brain cancer patient outcomes. Her specific interests include Artificial Intelligence, High Performance Computing, High Grade Glioma, Multi-omics, Medical Imaging, and Outcome prediction.

Her publication record shows a strong focus on radiation therapy applications, tumor motion prediction, and AI integration in oncology. The research trends demonstrate increasing emphasis on multimodal data integration for brain cancer treatment, particularly glioblastoma, with recent publications focusing on spatial-temporal prediction models and personalized radiotherapy planning.

Scientific Awards and Honors:

• UCSF Brain Tumor SPORE Career Enhance Program award (2024-2025)
• American Association of Physicists in Medicine Best in Physics abstract (Senior Author, 2024)
• American Association of Physicists in Medicine Top scored abstract by Science Council (First Author, 2023)
• The Radiosurgery Society Scientific Meeting Best Physics Abstract Resident Challenge (Second Author, 2021)
• American Association of Physicists in Medicine Spring Clinical Meeting Best Poster Award (Second Author, 2021)
• American Society for Radiation Oncology Resident Poster Viewing Recognition Award (First Author, 2020)
• Health Physics Society Fellowship (2015)
• COMAP International Mathematical Contest in Modeling Meritorious Winner (2011)

Dr. Lin has secured significant research funding as both Principal Investigator and Co-Investigator, including the Uncle Kory Foundation grant for multimodal deep learning in glioblastoma outcome prediction and Department of Defense funding for integrating metabolic and physiologic MRI for personalized radiotherapy planning. Her work demonstrates strong collaboration across multiple institutions and disciplines, particularly in advancing computational approaches to radiation oncology.

Her current research focuses on integrating multi-modal data to enhance glioblastoma progression prediction, building multimodal vision-language models for precise spatial-temporal prediction of glioblastoma, and developing AI-driven approaches for personalized radiotherapy planning.