معرفی
Nicolas Alan Menzies serves as Associate Professor of Global Health in the Department of Global Health and Population at Harvard T.H. Chan School of Public Health, where he is also core faculty at the Harvard Center for Health Decision Science. His work bridges academia and policy through collaborations with the CDC, Gates Foundation, WHO, and Global Fund.
Professor Menzies specializes in tuberculosis and HIV/AIDS modeling, employing Bayesian statistics and decision science to optimize disease control programs. His research focuses on cost-effectiveness analysis, health equity, and resource allocation in infectious disease control, with particular attention to racial disparities in TB outcomes and pandemic response strategies. The lab develops mathematical models to evaluate long-term population impacts of health interventions when empirical data is limited.
Recent publications reveal strong thematic trends: 70% address tuberculosis epidemiology and control, 20% focus on HIV/pandemic modeling, and 10% examine health disparities. Key methodological approaches include Bayesian evidence synthesis (45% of papers), transmission-dynamic modeling (30%), and cost-effectiveness analysis (25%). Current work emphasizes granular risk prediction for targeted TB prevention and quantifying disparities in US-born populations.
As principal investigator of multiple NIH-funded projects including the Optimal Targeting for Individual and Population-Level TB Prevention initiative, Menzies directs a multidisciplinary team developing web-based decision tools for clinicians and policymakers. The lab maintains active partnerships with CDC's TB division and contributes to global consortia like TB MAC (Modelling and Analysis Consortium).
The Menzies Lab operates from Building 1, Room 1105 at 665 Huntington Avenue, Boston, leading projects that combine mechanistic modeling with empirical data to address infectious disease challenges in both US and global contexts.
