Hui Wei is a third-year Computer Science PhD student in the Manning College of Information and Computer Sciences, where he works under supervision of Prof. Benjamin Marlin in the Robust and Efficient Machine Learning (REML) lab. His research interest is applying machine learning to improving human health. Currently, he is working on machine learning for mobile health and the missing value problem in the time series data. Previously, Hui was working on evaluating the clinical diagnostic accuracy of dementia subtypes, with Prof. Narges Razavian in the Department of Population Health, NYU Grossman School of Medicine.
His recent publication in Frontiers in Aging Neuroscience compares the diagnosis in the clinic with autopsy results on Alzheimer’s disease, Lewy body disease and their combination with respect to different Clinical Dementia Rating stages. They demonstrate the diagnosis of these dementia subtypes is inaccurate and also suffers from the significant disparity in race and sex.