Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Katie Link

Katie Link
Allen Institute for Brain Science, Allen Institute for Brain Science

Katie Link is a Phi Beta Kappa graduate of Johns Hopkins University with degrees in neuroscience and computer science. She is a FlexMed member of the Icahn School of Medicine Class of 2023. She is a member of the Mount Sinai Health System AI Consortium (AISINAI), and is passionate about applying her skills in machine learning to solving problems in healthcare. Currently she 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. As a member of AISINAI, her research has focused on developing a novel semi-supervised learning approach towards accelerating the training of deep convolutional neural networks.

Sessions

1:50pm2:30pm Thursday, April 18, 2019
AI Business Summit, Case Studies
Location: Sutton North/Center
Secondary topics:  AI case studies, Computer Vision, Health and Medicine
Eric Oermann (Mount Sinai Health System), Katie Link (Allen Institute for Brain Science)
There is a significant interest in applying deep learning based solutions to problems in medicine and healthcare. This talk will focus on identifying actionable medical problems, and then recasting them as tractable deep learning problems and the techniques to solve them. Read more.