Wednesday, September 30, 2020 | 9:00 AM PT / 12:00 PM ET
Through large collaborative research projects, the field of neuroscience is gaining access to unprecedented amounts of information about the structure and function of the brain. These datasets are already having a profound impact on neuroscience, and they promise to help us understand the biological underpinnings of human brain health. At the same time, the deluge of data is generating new challenges, as researchers struggle to store, manage, analyze, and interpret the data. You can use scalable cloud computing methods to lower some of these barriers. But the adoption of these methods is in its infancy.
Join this presentation to learn about tools to smoothly transition neuroscience into cloud computing. In particular, Cloudknot is a software library that we developed that packages existing Python code for deployment at scale in AWS Batch. In this session, see the use of this software in our research that uses large-scale magnetic resonance imaging (MRI) datasets to understand the role of brain connections in cognition and behavior.
- Ariel Rokem, PhD, Research Assistant Professor, University of Washington
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