James B. Duke Distinguished Professor of Biostatistics & Bioinformatics
David Page works on algorithms for data mining and machine learning, as well as their applications to biomedical data, especially de-identified electronic health records and high-throughput genetic and other molecular data. Of particular interest are machine learning methods for complex multi-relational data (such as electronic health records or molecules as shown) and irregular temporal data, and methods that find causal relationships or produce human-interpretable output (such as the rules for molecular bioactivity shown in green to the side).
Appointments and Affiliations
- James B. Duke Distinguished Professor of Biostatistics & Bioinformatics
- Professor of Biostatistics & Bioinformatics
- Professor of Computer Science
- Chair of Biostatistics & Bioinformatics
Contact Information
- Office Location: 2424 Erwin Road Suite 1102, 11072 Hock Plaza, Durham, NC 27705
- Email Address: david.page@duke.edu
- Websites:
Education
- Ph.D. University of Illinois, 1993
Awards, Honors, and Distinctions
- Fellow of ACMI 2021. American Medical Informatics Association. 2021
Courses Taught
- BIOSTAT 824: Case Studies in Biomedical Data Science
- BIOSTAT 823: Statistical Program for Big Data
In the News
- Duke Awards 44 Distinguished Professorships (May 4, 2023 | Duke Today)
- ChatGPT Is Here to Stay. What Do We Do With It? (Feb 21, 2023 | Duke Today)
Representative Publications
- Lai, H Henry, Jerrel Rutlin, Abigail R. Smith, Margaret E. Helmuth, James A. Hokanson, Claire C. Yang, J Quentin Clemens, et al. “Structural Changes in Brain White Matter Tracts Associated With Overactive Bladder Revealed by Diffusion Tensor Magnetic Resonance Imaging: Findings From a Symptoms of Lower Urinary Tract Dysfunction Research Network Cross-Sectional Case-Control Study.” J Urol 212, no. 2 (August 2024): 351–61. https://doi.org/10.1097/JU.0000000000004022.
- Jiang, Shiyi, Xin Gai, Miriam M. Treggiari, William W. Stead, Yuankang Zhao, C David Page, and Anru R. Zhang. “Soft phenotyping for sepsis via EHR time-aware soft clustering.” J Biomed Inform 152 (April 2024): 104615. https://doi.org/10.1016/j.jbi.2024.104615.
- Li, Boyao, Alexander J. Thomson, Houssam Nassif, Matthew M. Engelhard, and David Page. “On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models.” In Adv Neural Inf Process Syst, 37:4598–4628, 2024.
- Koga, T., K. Chaudhuri, and D. Page. “Differentially Private Multi-Site Treatment Effect Estimation.” In Proceedings - IEEE Conference on Safe and Trustworthy Machine Learning, SaTML 2024, 472–89, 2024. https://doi.org/10.1109/SaTML59370.2024.00030.
- Choi, J., N. Palumbo, P. Chalasani, M. M. Engelhard, S. Jha, A. Kumar, and D. Page. “MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance.” In Proceedings of Machine Learning Research, Vol. 252, 2024.