NIH/NCI Speakers to Present at the Bio-IT World Conference & Expo
May 16, 2023, 8:00 a.m.–11:30 a.m. ET
Mr. Ishwar Chandramouliswaran will give the opening remarks as chairperson for this panel of the FAIR Data Symposium. At 10:55 a.m. ET, he will moderate the panel discussion on “FAIR in Practice.”
May 16, 2023, at 10:30 a.m.-12:30 p.m. ET
Dr. Eric Stahlberg will provide insight into the Cancer Moonshot℠-funded NCI-Department of Energy (DOE) Collaboration, the Predictive Oncology Model and Data Clearinghouse (MoDaC), and the Digital Twins Ideas lab.
He and other leaders using digital twins and biomedical applications will also discuss:
- launching digital twin efforts.
- factors influencing the present environment.
- challenges and opportunities expected along the way.
- broader questions shaping the future for digital twins in biomedical applications.
May 18, 2023, at 10:55 a.m. ET
Dr. Stahlberg and Ms. Sunita Menon will further discuss MoDaC and focus on the extensibility of the DME to build other platforms. DME is a platform for storing and sharing high-value scientific data sets. It provides a cost-effective mechanism to manage the large heterogeneous data sets generated by high-throughput technologies. DME addresses the long-term data management needs of research labs and core facilities at NCI while adhering to the FAIR guiding principles for data management.
Dr. Stahlberg is the director of Biomedical Informatics and Data Science at the Frederick National Laboratory for Cancer Research (FNLCR). He played a role in establishing FNLCR’s high-performance computing initiative and in assembling scientific teams across multiple, complex organizations to advance predictive oncology.
Ms. Menon is the directorate of the Bioinformatics and Computational Science program at FNLCR. She is responsible for the delivery of data management platforms and solutions for NCI.
Mr. Chandramouliswaran is the program director and technical lead for the strategy, planning, coordination, and establishment of a FAIR data ecosystem at NIH’s Office of Data Science Strategy.