معرفی
Megan Lee Neely serves as Associate Professor of Biostatistics & Bioinformatics at Duke University School of Medicine and is a Member of the Duke Clinical Research Institute, focusing on advanced statistical methodologies for pulmonary and transplant medicine.
Education
- Ph.D. in Biostatistics from North Carolina State University (2011)
Research Focus
Her expertise spans Survival Analysis, Longitudinal Analysis, Joint Modeling, and Prediction Modeling with critical applications in Pulmonology and Lung Transplant. She pioneers biomarker validation frameworks and statistical education initiatives, addressing complex clinical challenges in chronic lung diseases through rigorous quantitative approaches.
Publication Trends
Recent publications (2024-2025) demonstrate concentrated efforts in lung transplant outcomes and idiopathic pulmonary fibrosis research. Key patterns include development of risk prediction algorithms, longitudinal trajectory modeling for disease progression, and machine learning applications for clinical decision support—all leveraging large-scale registry data and multicenter cohort studies to advance personalized medicine in pulmonary care.
Grants and Funding
- Investigating Senolytic Properties in Pulmonary Rehabilitation and Metformin in COPD Exacerbations (INSPIRE-COPD-E) - NIH (2025-2030)
- Lung Transplant Clinical Trial Network (LT-CTN) - NIH (2021-2028)
- Complement Pathway Activation in Idiopathic Pulmonary Fibrosis (K23) - NHLBI (2023-2028)
- Lung Transplant Consortium - Data Coordinating Center - NIH (2022-2027)
- Identifying acute lung allograft dysfunction relationships - Cystic Fibrosis Foundation (2025-2027)
- Understanding Cytomegalovirus in CLAD pathogenesis - Cystic Fibrosis Foundation (2025-2027)
- Early posttransplant club cell protein prediction models - Cystic Fibrosis Foundation (2025-2027)
- CTOT - CFF - Extension - Cystic Fibrosis Foundation (2021-2026)
- COPD Pulmonary Rehab GEMSSTAR Award - NIH (2023-2026)
- Long Term Follow up of Lung Transplant Outcomes Group - University of Pennsylvania (2019-2026)
Professional Engagement
Dr. Neely actively mentors through Bass Connections and Data+ programs at Duke while teaching CRP 245: Statistical Analysis, fostering next-generation biostatistical talent through hands-on research experiences in clinical data science.
