Xiang "Shaun" Li, Ph.D.

Here is my personal homepage: xiangli-shaun.github.io

I am currently an Assistant Professor working at the Massachusetts General Hospital and Harvard Medical School, Department of Radiology. 

Research Investigation

My research focus is on the development of generalized, robust, and explainable solutions for multi-modal data analytics in healthcare. My previous works in methodology development for medical image analysis have been awarded by the IEEE International Symposium on Biomedical Imaging (ISBI) as the Best Student Paper award for 3 times (2011, 2013, and 2020 by my mentee), the Best Paper Award of IEEE Transactions on Radiation and Plasma Medical Sciences in 2022. I have received grant support from both NIH and MGH Thrall Innovation Grants Award for my research. 

Technological Innovation

At MGH, I have worked with physicians, radiologists, and system engineers to deliver novel solutions for medical imaging. Through close collaboration with thoracic radiologists, including Dr. James Thrall and Dr. Mannudeep Kalra, I developed a deep learning-enabled system for pneumothorax prescreening. I have also developed risk assessment tools at the Emergency Department for COVID-19 patients based on their chest X-ray images and tabular medical records data. 

Service to the Community

I have been serving as a reviewer for multiple top research journals and conferences, as well as editor and program chair for multiple journals and conferences, with a focused interest in bridging the communities of medical imaging data science and machine learning. To promote the importance and advancement of multi-modal, multi-scale medical image analysis and facilitate more interactions between clinical and data science experts, I founded and chaired the International Workshop on Multiscale Multimodal Medical Imaging in 2019, 2022, and 2023.

Teaching and Educational Activities

I have supervised and mentored 4 research fellows and 8 visiting students at MGH. Through mentorship and co-working on research projects, most of the research fellows and students have accomplished more than one publication in scientific journals or conferences. In addition, I have given multiple lectures on computational modeling and solution development in Radiology.