Umit Topaloglu, Ph.D.
Branch Chief
- Center for Biomedical Informatics & Information Technology
- Informatics and Data Science Program
- Clinical & Translational Research Informatics Branch
-
Current Role
Current Role
As Chief of the Clinical and Translational Research Informatics Branch, I oversee the biomedical informatics efforts for several NCI clinical research endeavors, including the NCI Precision Medicine Initiatives, the Clinical Trials Reporting Program, and the strategic roadmap development.
I’m also responsible for oversight of NCI’s Semantic Infrastructure (i.e., NCI Enterprise Vocabulary Services and the Cancer Data Standards Registry and Repository), which is crucial to enabling standards-based data sharing, real world evidence, and cancer research. Additionally, I provide data science expertise for these programs and collaborate closely with bioinformatics and data ecosystem initiatives.
-
Projects
Projects
Provides access to oncology research common data elements and forms.
Provides informatics infrastructure and data science expertise to aid in reporting data from clinical trials.
Provides terminology content and tools to code, analyze, and share cancer and biomedical research information.
Enrolls patients to determine whether treating cancer based on their genome is effective.
Provides the infrastructure for NCI-funded treatment and primary advanced imaging trials.
Connects researchers with data sets and tools to analyze large-scale cancer research data in the cloud.
Stores and shares data sets generated from National Clinical Trials Network and NCI Community Oncology Research Program clinical trials.
Enrolls children, teens, and young adults to test precision medicine for childhood cancers.
Improves utility of Real-World Data by focusing on data quality and standards (e.g. USCDI+ Cancer). -
Publications
Publications
Featured Publications
Applying FHIR Genomics for Research—From Sequencing to Database. 2022 AMIA Informatics Summit, 2022.
Risk and Outcome of Breakthrough COVID-19 Infections in Vaccinated Patients with Cancer: Real-world Evidence from the National COVID Cohort Collaborative (N3C). ASCO Journal of Clinical Oncology, 2021.
-
In the News
In the News
Are you developing machine learning and looking for ways to make your model generalizable to a diverse population? A recent study describes an algorithm that centers on transforming your data rather than tweaking your model.Thanks to a unique public-private partnership, new data elements will soon be a routine part of electronic health records, capturing information about cancer and helping to improve cancer diagnosis, treatment, and care.Attending the AMIA 2024 Informatics Summit? Don't miss these NCI CBIIT-affiliated data science sessions! -
Background
Background
Education
- Ph.D., Applied Science, University of Arkansas at Little Rock
- M.S., Electrical Engineering, Cukurova University (Turkey)
- B.S., Electrical Engineering, Cukurova University (Turkey)
Previous Work
- Co-Director, Bioinformatics Shared Resource, Wake Forest University School of Medicine (WFSoM)
- Associate Lead, Informatics Program, Wake Forest Clinical and Translational Science Institute, WFSoM
- Associate Director, Center for Biomedical Informatics, WFSoM
- Associate Professor, Cancer Biology and Biostatistics and Data Science Departments, WFSoM
- Associate Director of Informatics, Wake Forest Baptist Comprehensive Cancer Center, WFSoM
-
My Team
Federal Staff
My Team