Jessica Schrouff

AI for Health

AI techniques have made it in our everyday lives. However they are not yet included in some critical aspects of our society, like healthcare. In this talk, I will review some of the recent applications that our team has developed to bring these methods to clinical practice and display their potential to transform healthcare.

Jessica received her PhD in Electrical Engineering from the University of Liège, Belgium, in 2013. She was a post-doctoral researcher at the Laboratory of Behavioral and Cognitive Neuroscience, Stanford University before obtaining a Marie Curie fellowship with University College London. Her research applied machine learning techniques to neuroimaging data (both cognitive and clinical neuroscience) and investigated the limitations of such models, especially in terms of interpretation. She is now a Research Scientist at Google Health where I continue investigating the use of machine learning techniques for healthcare. As one of the few women in Engineering, she has been sensitised to diversity issues in her field and has been advocating for women in science.

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