Dr Warren Kibbe | Director of The Center for Biomedical Informatics and Information Technology
National Cancer Institute

Dr Warren Kibbe, Director of The Center for Biomedical Informatics and Information Technology, National Cancer Institute

Dr. Kibbe is the Acting Deputy Director at the National Cancer Institute, part of the National Institutes of Health in the United States. He has brought a voice and vision to the use and importance of data, analytics and computation for capturing, understanding and communicating the scientific evidence generated by the NCI-funded community. His current responsibilities include defining and implementing the NCI Data Commons, a vision for a National Cancer Research Data Ecosystem, and serving as the director of the NCI Center for Biomedical Informatics and Information Technology, where he oversees a team of more than 660 biomedical informatics and IT professionals. He moved to NCI in October 2013, where he has overseen the NCI Cloud Pilots and played a key role in coordinating the data sharing scientific components of the Beau Biden Cancer Moonshot. He has also been instrumental in establishing NCI-DOE scientific collaborations. Those collaborations are key to defining and developing the next generation of high performance computing architectures that can be applied to important questions in cancer biology, treatment, development of resistance in patients and understanding outcomes. At NCI, Dr. Kibbe has emphasized the importance of creating a multi-disciplinary workforce able to apply advanced computing techniques to cancer research and cancer care. Prior to joining the NCI, Dr. Kibbe was a prolific researcher at Northwestern University. He has been an open science, open software, open ontologies advocate for more than 20 years. InformationWeek named Dr. Kibbe a Top 25 Innovative Healthcare CIO for 2012. In 2017 FedHealthIT recognized Dr. Kibbe as a ‘Top 100 Executives and Leaders’ in Federal healthcare IT.


Agenda Day 2 @ 08:40

Precision oncology needs data sharing: Integrating genomic and clinical data to advance patient care and understanding patient outcomes

  • Does decoding the genes of patients’ cancer help to accelerate the pace of discovery?
  • Is more sequencing, across large populations worthwhile?
  • How to combine all these data into one searchable pool?
  • How will this translate to better and more personalized vaccines or treatments for patients?
  • The paradigm of bringing multiple cancer centers together, connecting academics with industry and how to data share
  • The type of data sharing necessary to learn from the experience of patients that go through cancer immunotherapy

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