Biography & Research:
I am an Instructor of Electrical Engineering in the Department of Radiology in the Brain Health Imaging Institute (BHII) at Weill Cornell Medical (WCM). Starting my Ph.D. about ten years ago, I began working closely with the University of Tennessee Health Science Center (UTHSC), delving into the unwavering research journey into Alzheimer’s disease (AD) that continues to this day. I have utilized my extensive expertise in mathematics, machine learning, signal, and image processing to detect early-stage biomarkers of AD and deepen the understanding of its pathophysiology. My research has been at the forefront of utilizing resting-state functional magnetic resonance imaging (rs-fMRI) in distinguishing healthy controls from converters to mild cognitive impairment (MCI) and AD. I expanded my research to include other neuroimaging modalities such as diffusion tensor imaging (DTI) and positron emission tomography (PET). I successfully identified reliable biomarkers to model and predict early neuropsychological changes in patients and healthy control individuals. In addition to my expensive experience in statistics and machine learning approaches, my extensive experience spans multiple neuroimaging modalities, including rs-fMRI, structural MRI, DTI, task-fMRI, tau-PET, and amyloid-PET.