Katie Link is a data analyst at the Allen Institute for Brain Science, where she is working on building deep learning tools to solve practical problems in neuroscience research. A member of the Mount Sinai Health System AI Consortium (AISINAI), she is passionate about applying her skills in machine learning to solving problems in healthcare, and her research has focused on developing a novel semisupervised learning approach for accelerating the training of deep convolutional neural networks. She is a graduate of Johns Hopkins University (Phi Beta Kappa) with degrees in neuroscience and computer science and a FlexMed member of the Icahn School of Medicine’s class of 2023.
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