Harvard Catalyst Profiles

Xiamen University, Xiamen, China	B.S.	07/2012	Chemistry
Washington University, St. Louis, MO	M.A.	08/2015	Physical Chemistry
Washington University, St. Louis, MO	Ph.D.	06/2019	Physical Chemistry
Washington University School of Medicine, St. Louis, MO	Postdoc	02/2021	Radiology
Harvard Medical School, Boston	Postdoc		Radiation Oncology

I am a postdoctoral research fellow in radiation oncology and artificial intelligence (AI) in medicine. My current research is focused on developing, validating and applying novel AI algorithms to address a wide range of clinical challenges in the area of radiation oncology. I am interested in combing state-of-the-art AI techniques (e.g. deep learning (DL), radiomics) and cancer imaging (e.g. CT, MRI) to develop clinical decision-making tools that advance personalized cancer care and can be effectively translated into the clinic. I am particularly interested in building fully-automated imaging-based scan-to-prediction platform to better predict cancer patient outcomes that could facilitate and optimize clinical trials as well guide treatment personalization strategies. My current working projects include DL outcome prediction studies on head and neck cancer (HNC) as well as pediatric low-grade glioma. Previously, I have worked on developing advanced diffusion MRI methods along with machine learning algorithms to noninvasively detect and characterize multiple types of cancers, including glioblastoma (GBM), high-grade pediatric brain tumor as well as prostate cancer.