Ziqi Li is a PhD student in neurology at the Department of Medicine and Therapeutics at the Chinese University of Hong Kong. Her research focuses on medical image analysis, particularly radiomics and its applications in cerebrovascular disease. She aims to integrate advanced imaging features with machine learning methods to enhance risk prediction and clinical decision-making for patients with intracranial atherosclerotic disease and related stroke mechanisms. In addition to radiomics, Ziqi is interested in deep learning approaches for medical image classification and outcome prediction. Through her research, she hopes to contribute to precision medicine and provide novel insights into stroke prevention and treatment.