Ying Kuen Cheung

Dr. Kuen Cheung, Professor in the Department of Biostatistics, is an expert in artificial intelligence and machine learning, with a focus on multivariable isotonic ("miso") classification and regression methods for cancer research. His work leverages monotonicity assumptions to improve statistical efficiency and prediction accuracy, with applications spanning cancer screening using multiplex assays, adaptive clinical trials for precision medicine, and predictive modeling using electronic health record data.

In Paris, Cheung will collaborate in person with Dr. Moreno Ursino at Inserm and participate in an international workshop on adaptive clinical trials, an area where his miso methodology has direct relevance. Using Reid Hall as a European base, he also plans short visits to collaborators at the Institute of Cancer Research in London.