
Joyce Niland Lab
Our discovery-based science leverages pooled institutional data such as patients’ electronic medical records, the City of Hope Cancer Registry, and data captured from unstructured dictations and reports via text mining and natural language processing (NLP).
Our role coordinating, mining and analyzing sophisticated data — as well as creating new research methods — advances a range of studies in cancer and diabetes. Our collaborations encompass research exploring patient outcomes, genetic components of disease and biomarkers in tissue samples.
The Estelle & Edward Alexander Chair in Information Sciences, Joyce Niland conducts research that focuses on statistical methodology in longitudinal and observational studies, outcomes research, clinical trials design and methodology in oncology, secondary use of clinical data for research, biomedical informatics and information integration, data warehousing for research, national language processing, clinical/phenotypic data repositories and decision support systems for biomedical research.









Miller, M., Ottesen, R.A., Niland, J.C., Kruper, L., Chen, S.L. & Vito, C.
Marcinkowski, E., Ottesen, R., Niland, J. & Vito, C.
Ottesen, R., Vito, C. & Niland, J.
Alvarnas, J.C., Marcucci, G., Vanderplas, A., Smith, E., Murata-Collins, J., Levine, A., Niland, J., Palmer, J., Tsai, N., Ottesen, R., Rabin, M., Dzagikian, Z., Azimi, S., Levine, H. & Forman, S.J.
Bostanci, Z., Wang, X., Ottesen, R., Nikowitz, J., Jones, V., Springer, L., Lai, L., Taylor, L., Vito, C., Paz, I., Niland, J., Kruper, L. & Yim, J.