Winston Chong

Winston Chong is an Adjunct Clinical Professor at the Department of Neuroscience, Monash University. His research focuses on Interventional Neuroradiology, Artificial Intelligence, Machine Learning, and Neurovascular Diseases. He leads projects such as "The Holy Grail: Non-thrombogenic intravascular stents" and "Bringing personalized aneurysm rupture predictions to the patient", emphasizing precision medicine and medical device innovation.

His work spans clinical applications like adrenal vein sampling for primary aldosteronism and deep learning models for aneurysm diagnosis. He collaborates internationally and has published extensively on cerebral aneurysm rupture risk, stroke intervention protocols, and hemodynamic analysis. Chong is actively involved in training guidelines for endovascular stroke interventions and advancing AI-driven diagnostic tools in neurology.

Current projects include optimizing tertiary care for primary aldosteronism diagnosis and developing thrombosis-resistant vascular stents. He accepts PhD students focusing on improving MS diagnosis via machine learning.