Speaker
Justin Wozniak
(University of Chicago)
Description
The new IMPROVE project at ANL is collecting and curating AI models for cancer and similar precision medicine problems. Comparing these models across a large configuration space of hyperparameters and data sets is a challenging problem. The IMPROVE team is building a scalable workflow suite to answer a range of questions that arise when attempting to run diverse models developed by different teams on the same problem. This presentation will describe the problem in more detail and our approach using near-exascale or exascale computers.
Primary author
Justin Wozniak
(University of Chicago)
