T32 Training Program
Co-PIs: Amanda E. Nelson, MD, MSCR and Leigh F. Callahan, PhD
The goal of the Rheumatic and Musculoskeletal Disease (RMD) Epidemiology and Outcomes Training Program at the University of North Carolina is to provide state-of-the-art resources and a rich environment to train independent researchers who will improve our understanding of the magnitude, etiology, impact, and treatment of RMDs, and who will assume leadership roles in RMD epidemiology and outcomes research.
This T32 includes:
- Clear core methodologic and content- related competencies to be met by trainees and supported by the existing infrastructure at UNC and TARC, including our NIAMS-funded Core Center for Clinical Research.
- Linkages to formal training programs in epidemiologic methods and biostatistics to provide a strong foundation in research design and analytic techniques, including those through the North Carolina Translational and Clinical Sciences Institute.
- Emphasis on design, execution, analysis, and publication of research projects to enhance the ability of the trainee to conceptualize and think through research problems with increasing independence.
- Experienced and dedicated mentors to guide the developing investigator.
- An emphasis on rigor and reproducibility, data science principles, and the responsible conduct of research in an inclusive and supportive environment.
- The program benefits from strong leadership, outstanding faculty from Schools and Departments across the university, and the strong research infrastructure of RAI, TARC, and UNC.
- Focus on state-of-the-art training in artificial intelligence, machine learning, precision medicine, bioinformatics, and use of real-world data sources.
Download this 2-page overview of the training program and research experience for more information.
Current Trainees
Ashley N. Buck Helal El-Zaatari, PhD
Pre-Doctoral Trainee Post-Doctoral Trainee
The first year of this grant will support one pre-doctoral and one post-doctoral trainee (2024-2025). Beginning in 2025, two pre-doctoral and two post-doctoral slots will be available each year.