Chris Bizon
Director of Analytics and Data Science
Since joining RENCI in 2008, Bizon has led efforts spanning biomedical informatics, translational science, genomics, transportation safety, and environmental research. His contributions to initiatives such as the Biomedical Data Translator, ROBOKOP, and MATRIX have helped establish RENCI as a leader in AI-enabled research and data integration. Before joining RENCI, Bizon held research and software development roles in the private sector focused on computational chemistry, machine learning, and scientific computing. He received his BS in Physics from UNC-Chapel Hill and his PhD in Physics from the University of Texas at Austin.
As RENCIās Interim Deputy Director and Director of the Analytics and Data Science Group at RENCI, Chris Bizon provides leadership for research programs that leverage artificial intelligence, machine learning, knowledge graphs, and advanced analytics to transform large, complex data into actionable knowledge. He works closely with researchers, government agencies, industry partners, and community organizations to develop innovative solutions that advance scientific discovery and improve decision-making.
Projects
- AIxB: Building a collaborative ecosystem for innovation in Artificial Intelligence and the Biological Sciences
- Data Translator Standards and Reference Implementations
- AI Tool for Extraction of Roadside Hazards from Videolog Data and LIDAR
- ROBOKOP
- Rapidly Emerging Antiviral Drug Development Initiative-AViDD Center (READDI-AC)
- Data Translator ARAGORN
- MATRIX
- NCATS Biomedical Data Translator
- GeneSight
- HEAL LitCoin Knowledge Graph
- Proto-Open Knowledge Network: FRINK
- TRANSLATOR DOGSLED: Data, Ontologies, and Graphs Supporting Learning and Enhanced Discovery
- RoboCroissant
News and Blog
Publications
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The “I” in FAIR: Translating from Interoperability in Principle to Interoperation in Practice
Morris, E., Vaidya, G., Owen, P., Reilly, J., Fecho, K., Wang, P., ā¦ Bizon, C. (2026). The āIā in FAIR: Translating from Interoperability in Principle to Interoperation in Practice. arXiv [Cs.DB]. Retrieved from http://arxiv.org/abs/2601.10008Posted Content -
Automated Roadside Object Detection and Geolocation by Leveraging Data Fusion of Airborne LiDAR and Videolog Images
Yi, H., Satusky, M., Borland, D., Chakraborty, M., Vann, M., Srinivasan, R., & Bizon, C.. (2025). Automated Roadside Object Detection and Geolocation by Leveraging Data Fusion of Airborne LiDAR and Videolog Images. Data Science for Transportation, 7(3).Journal Article -
Announcing the Biomedical Data Translator: Initial Public Release
Fecho, K., Glusman, G., Baranzini, S. E., Bizon, C., Brush, M., Byrd, W., Chung, L., Crouse, A., Deutsch, E., Dumontier, M., Foksinska, A., Hadlock, J., He, K., Huang, S., Hubal, R., Hyde, G. M., Israni, S., Kenmogne, K., Koslicki, D., ā¦ Yakaboski, C.. (2025). Announcing the Biomedical Data Translator: Initial Public Release. Clinical and Translational Science, 18(7).Journal Article -
Elucidating the mechanistic relationships between peroxisome proliferatorāactivated receptors and hepatic fibrosis using the ROBOKOP knowledge graph
Fecho, K., Tucker, N., Beasley, J.-M., Auerbach, S. S., Bizon, C., & Tropsha, A.. (2025). Elucidating the mechanistic relationships between peroxisome proliferatorāactivated receptors and hepatic fibrosis using the ROBOKOP knowledge graph. Frontiers in Toxicology, 7.Journal Article -
Pioneering a new field of computational pharmacophenomics to unlock the life-saving potential of existing medicines
Fajgenbaum, D. C., Nijim, S., Mitchell, G., Macak, M., Bizon, C., Tropsha, A., & Koslicki, D.. (2025). Pioneering a new field of computational pharmacophenomics to unlock the life-saving potential of existing medicines. The Lancet Haematology, 12(2), e94āe96.Journal Article -
ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research): a user-friendly interface for knowledge graph mining
Beasley, J.-M. T., Korn, D. R., Tucker, N. N., Alves, E. T. M., Muratov, E. N., Bizon, C., & Tropsha, A.. (2024). ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research): a user-friendly interface for knowledge graph mining. Bioinformatics, 40(1).Journal Article -
An approach for collaborative development of a federated biomedical knowledge graph-based question-answering system: Question-of-the-Month challenges
Fecho, K., Bizon, C., Issabekova, T., Moxon, S., Thessen, A. E., Abdollahi, S., Baranzini, S. E., Belhu, B., Byrd, W. E., Chung, L., Crouse, A., Duby, M. P., Ferguson, S., Foksinska, A., Forero, L., Friedman, J., Gardner, V., Glusman, G., Hadlock, J., ā¦ Xu, C. H.. (2023). An approach for collaborative development of a federated biomedical knowledge graph-based question-answering system: Question-of-the-Month challenges. Journal of Clinical and Translational Science, 7(1).Journal Article -
Progress toward a universal biomedical data translator
Fecho, K., Thessen, A. E., Baranzini, S. E., Bizon, C., Hadlock, J. J., Huang, S., Roper, R. T., Southall, N., Ta, C., Watkins, P. B., Williams, M. D., Xu, H., Byrd, W., DanÄĆk, V., Duby, M. P., Dumontier, M., Glusman, G., Harris, N. L., Hinderer, E. W., ā¦ Zhu, Q.. (2022). Progress toward a universal biomedical data translator. Clinical and Translational Science, 15(8), 1838ā1847.Journal Article -
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science
Unni, D. R., Moxon, S. A. T., Bada, M., Brush, M., Bruskiewich, R., Caufield, J. H., Clemons, P. A., Dancik, V., Dumontier, M., Fecho, K., Glusman, G., Hadlock, J. J., Harris, N. L., Joshi, A., Putman, T., Qin, G., Ramsey, S. A., Shefchek, K. A., Solbrig, H., ā¦ Mungall, C. J.. (2022). Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science. Clinical and Translational Science, 15(8), 1848ā1855.Journal Article -
Defining clinical outcome pathways
Korn, D., Thieme, A. J., Alves, V. M., Yeakey, M., Borba, J. V. V. B., Capuzzi, S. J., Fecho, K., Bizon, C., Edwards, S. W., Chirkova, R., Colvis, C. M., Southall, N. T., Austin, C. P., Muratov, E. N., & Tropsha, A.. (2022). Defining clinical outcome pathways. Drug Discovery Today, 27(6), 1671ā1678.Journal Article
