Faculty Profiles

My research is at the intersection of applied statistics, public health, and sociology. I develop new quantitative methods and metrics to aggregate various data sources (population surveys or censuses, medico-administrative databases, or satellite imagery), to increase available evidence relating to inequalities in disease burden and access to health services, with a particular focus on data-sparse settings. Simultaneously, I am especially interested in studying the effects of the quantification of global health on how international and local policy-makers understand and formulate health problems and what they see as potential solutions. For instance, during my PhD, which I received from the University of Washington in Seattle, in 2021, I studied the application and consequences of some results-based financing programs, i.e., health interventions where financial incentives are given to healthcare organizations/providers to achieve certain performances defined by quantitative targets. Over the last year and a half, I was a postdoctoral researcher at McGill University in Montreal, working on several equity-oriented HIV research projects, in close collaboration with UNAIDS, the branch of the UN dedicated to ending the HIV/AIDS epidemic. I also hold a BA in Social Sciences from SciencesPo Paris, a BS in Applied Mathematics from La Sorbonne University, a Diplome d'Ingenieur (~ MSc) in Statistics and Econometrics from the French National School of Statistics and Economic Administration, and a Master in Public Health from Paris-Saclay University. As a Visiting Professor at Reed, I will be teaching Math 141 - Introduction to Statistics, and Math 241 - Data Science. In my free time, I'm hoping to ride my bike around the streets of Portland to conduct a complete census and provide an exhaustive review of its coffee shops.