Dr. Emily R. Pfaff received her Masters in Information Science and her PhD in Clinical and Health Informatics, both from the University of North Carolina (UNC). Since 2011, Dr. Pfaff has served in multiple roles in the North Carolina Translational and Clinical Sciences Institute (NC TraCS), UNC's CTSA. Dr. Pfaff is currently NC TraCS Co-Director for Informatics and Data Science. She is also Associate Director of UNC Chapel Hill School of Medicine's Program on Clinical and Health Informatics. Dr. Pfaff has an academic appointment as Research Associate Professor in the Department of Medicine, Division of Endocrinology & Metabolism at UNC Chapel Hill School of Medicine. Dr. Pfaff is nationally known for her work and leadership in the National Covid Cohort Collaborative (N3C), now known as the N3C COVID Enclave. The N3C COVID Enclave is the largest data enclave of de-identified, individual-level clinical data available for COVID-19 research. Dr. Pfaff and others are piloting additional data enclaves as part of the expansion of N3C, the National Clinical Cohort Collaborative.
Recent Publications
- Heilig, CE, Heining, C, Gnutzmann, E, Roldan, S, Heiligenthal, L, Sparber-Sauer, M, Hahn, D, Dirksen, U, Hamacher, R, Flörcken, A et al.. Rationale and design of the PAMSARC (pasireotide as maintenance treatment with monthly deep intramuscular injection in SSTR2/3/5-expressing synovial sarcoma and desmoplastic small round cell tumor) multicenter phase 2 trial. Cancer Treat Res Commun 2025; 45 : 100986. PubMed PMID:40934647 .
- Wei, WQ, Guardo, C, Zhang, X, Gandireddy, S, Yan, C, Kerchberger, V, Dickson, A, Pfaff, E, Master, H, Basford, M et al.. Multi-scale Data Improves Performance of Machine Learning Model for Long COVID Prediction. Res Sq 2025; : . PubMed PMID:40909786 PubMed Central PMC12408029.
- Crosskey, M, McIntee, T, Preiss, S, Brannock, D, Baratta, JM, Yoo, YJ, Hadley, E, Blanceró, F, Chew, R, Loomba, J et al.. Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia. Lancet Digit Health 2025; 7 (8): 100887. PubMed PMID:40858480 .
- Whitney, HM, Baccile, R, Li, H, Drukker, K, Meyer, C, Gruszauskas, NP, Chen, W, Lauderdale, DS, Napel, S, Kahaki, S et al.. Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use Case. J Imaging Inform Med 2025; : . PubMed PMID:40813937 .
- Anzalone, AJ, Krichevsky, S, Yoo, YJ, Wilkins, KJ, Alakwaa, F, Liu, F, Sakhuja, A, Saltz, JH, Han, Y, Zhu, RL et al.. The Association of Long COVID and CKD: Findings from the National Clinical Cohort Collaborative. Clin J Am Soc Nephrol 2025; : . PubMed PMID:40762975 .
- Jäger, N, Reuss, DE, Sill, M, Schrimpf, D, Suwala, AK, Sievers, P, Banan, R, Hinz, F, Rahmanzade, R, Bogumil, H et al.. Advancing sarcoma diagnostics with expanded DNA methylation-based classification. medRxiv 2025; : . PubMed PMID:40630595 PubMed Central PMC12236892.
- Hawkins, KL, Dandachi, D, Verzani, Z, Brannock, MD, Lewis, C, Abedian, S, Jaferian, S, Wuller, S, Truong, J, Gage Witvliet, M et al.. HIV Infection and Long COVID: A RECOVER Program, Electronic Health Record Based Cohort Study. Clin Infect Dis 2025; : . PubMed PMID:40354184 .
- Powers, JP, McIntee, TJ, Bhatia, A, Madlock-Brown, CR, Seltzer, J, Sekar, A, Jain, N, Hornig, M, Seibert, E, Leese, PJ et al.. Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort. Commun Med (Lond) 2025; 5 (1): 109. PubMed PMID:40210986 PubMed Central PMC11986062.
- Mateos, MK, Ajuyah, P, Fuentes-Bolanos, N, El-Kamand, S, Barahona, P, Altekoester, AK, Mayoh, C, Holliday, H, Liu, J, Cui, L et al.. Germline analysis of an international cohort of pediatric diffuse midline glioma patients. Neuro Oncol 2025; 27 (7): 1849-1863. PubMed PMID:40072012 PubMed Central PMC12417819.
- Mandel, HL, Shah, SN, Bailey, LC, Carton, T, Chen, Y, Esquenazi-Karonika, S, Haendel, M, Hornig, M, Kaushal, R, Oliveira, CR et al.. Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative. J Med Internet Res 2025; 27 : e59217. PubMed PMID:40053748 PubMed Central PMC11923460.
