Computational Approaches for Cancer SuperComputing 2015 conference in Austin, Texas
Sunday, November 15th 2015 from 2:00pm to 5:30pm

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Computational Approaches for Cancer

As the size, number, variety and complexity of cancer datasets have grown in recent years, new computational challenges and opportunities are emerging within the cancer research and clinical application areas. The workshop focuses on bringing together interested individuals ranging from clinicians, mathematicians, data scientists, computational scientists, hardware experts, engineers, developers, leaders and others with an interest in advancing the use of computation at all levels to better understand, diagnose, treat and prevent cancer. With an interdisciplinary focus, the workshop will provide opportunities for participants to learn about how computation is employed across multiple areas including imaging, genomics, analytics, modeling, pathology and drug discovery. The forward focus of the workshop looks at challenges and opportunities for large scale HPC, including potential for exascale applications involving cancer.


Thomas Barr, Nationwide Children's Hospital
Patricia Kovatch, Icahn School of Medicine at Mount Sinai
Eric Stahlberg, Frederick National Laboratory for Cancer Research


Our goals for this workshop are listed as follows:

  • Bring together individuals employing computation in studying, diagnosing, treating, or preventing cancer
  • Attract individuals with HPC and computational skills in technical areas that would contribute to the understanding, diagnostics, treatment and/or prevention of cancer
  • Provide an overview of current applications of computational approaches at several levels in cancer research and clinical application
  • Educate attendees on the ways that computation is used in several areas of cancer research and clinical applications (imaging, genomics, analytics, molecular modeling, complex systems modeling, drug discovery, pathology, etc.)
  • Discuss and bring forward issues and challenges facing greater utilization of computation at all levels in cancer research and clinical applications (e.g. reproducibility, portability, auditability, standards, regulatory compliance, etc.)
  • Explore future opportunities where employing HPC from terascale to exascale will help advance cancer research and clinical communities
The final goal for this workshop is to establish the foundation for an ongoing Computational Approaches for Cancer workshop that will grow in size over the coming years as both challenges, solutions and progress are shared annually.