PRINCIPLE INVESTIGATOR

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 Jie received her M.S. in cognitive neuroscience from École Normale Supérieure Paris in 2015, and completed her Ph.D. in medical neuroscience at Charité – Universitätsmediz in Berlin in 2019. Prior to joining the CNAI Lab, she was a postdoctoral fellow at the University of Quebec. Her major research interests include neuro-inspired AI, computational neuroscience, and application of machine learning in neuroscience and neurology. 

Diana is a cognitive neuroscientist interested in how the brain extracts meaning from complex visual inputs.   How do we process information about people and their actions and interactions? What are the computations that extract generalizable information from visual features? To answer these questions, I combine computational tools from machine learning with neuroimaging methods (MEG and EEG). 

After studying Electrical Engineering in India and the US, Uma completed a PhD in Neuroscience at the University of Otago in New Zealand. For her doctorate work, she used effective connectivity and other network properties to detect and predict microsleeps. During her fellowship here at Western, she is working with Rishi Ganesan (Pediatrics) and Yalda Mohsenzadeh (Computer Science) on a project examining brain activity (EEG) in critically-ill children with delirium. Her research will provide insights into the underlying mechanisms of delirium and could lead to the development of diagnostic biomarkers.