Our Team
Brooke Nichols, PhD, MS
Brooke is an infectious disease modeller and health economist with over a decade of experience supporting global health policy and financing decisions. She is an Associate Professor of Global Health at Boston University School of Public Health, with additional academic appointments in Europe and South Africa, and previously served as Senior Director of the Impact Department at FIND.
Her work has informed WHO guideline development and diagnostic target product profiles, major donor investment decisions, and national policy in multiple countries. She has led and contributed to large, multi-country modelling consortia across HIV, TB, COVID-19, antimicrobial resistance, and diagnostics, and has published extensively in high-impact journals including The Lancet, Lancet Global Health, Clinical Infectious Diseases, Lancet Infectious Diseases, and Lancet HIV.
At Impact Analytics and Advisory Lab, she provides overall scientific leadership, analytic design, methodological oversight, and strategic engagement with donors and partners.
FounderAlexandra de Nooy, MSc
Alexandra is a mathematical modeller specialising in the evaluation of diagnostic and screening strategies for tuberculosis and other infectious diseases. She completed her PhD in infectious disease modelling at the University of Amsterdam (award date: April 2026), focused on mathematical modelling to guide the development of novel TB diagnostics, and is currently a postdoctoral fellow at the Amsterdam Institute for Global Health and Development (AIGHD).
Her work translates complex modelling into actionable guidance for diagnostic development and policy, including multi-country analyses of diagnostic trade-offs, cost-effectiveness, and access. She has contributed directly to WHO tuberculosis screening and diagnostic target product profiles and has published in The Lancet Global Health, Clinical Infectious Diseases, BMJ Global Health, and eClinicalMedicine.
At the Lab, Alexandra leads diagnostic modelling workstreams and supports donor-facing analyses related to test performance requirements, placement, and scale-up across diverse health system contexts.
Modelling ScientistHealth Economist & Modelling ScientistMegan Hansen, MPH
Megan is a health economist and infectious disease modeller with expertise in cost-effectiveness analysis, budget impact modelling, and the evaluation of novel diagnostics across multiple disease areas. She completed her PhD in health economics and infectious disease modelling at the University of Amsterdam (award date: June 2026), focused on quantifying the value of diagnostics for infectious disease burden mitigation, and is currently a postdoctoral researcher at Amsterdam University Medical Center.
Her work spans tuberculosis, malaria, HIV, sexually transmitted infections, neonatal sepsis, and respiratory infections, and is characterised by strong integration of economic evaluation with epidemiological modelling. She has contributed to donor- and WHO-relevant analyses and has published extensively in journals such as the Lancet Global Health, Clinical Infectious Diseases, and eClinicalMedicine.
At the Lab, Megan leads health economic analyses and supports cross-disease and integrated service delivery evaluations, with a particular focus on informing investment cases and prioritisation decisions.
Geospatial AnalyticsThomas Crompton, MSc
Tom is a geospatial analytics and diagnostic network optimisation specialist with extensive experience supporting governments, global health organisations, and donors to strengthen health systems through data-driven planning. His expertise spans diagnostic network optimisation (DNO), geospatial modelling, sample transport systems, and health system logistics.
He has led and contributed to national and sub-national diagnostic network analyses across multiple countries and disease areas, including HIV, TB, and COVID-19. His work integrates GIS, optimisation modelling, and operational data to improve efficiency, equity, and access to diagnostic services, and has informed global guidance on the stepwise implementation of diagnostic network optimisation.
At the Lab, Thomas contributes advanced spatial and optimisation analyses to support strategic planning, investment decisions, and the design of scalable diagnostic networks.