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My research focuses on quantifying vulnerability to micronutrient deficiencies and simulating the potential contributions of various public policy interventions using mathematical models. I draw from various methodological techniques depending on the availability (or lack) of dietary data in the context, and the relevance and acceptability to impacted stakeholders. The overall goal is to translate complex data into actionable recommendations for evidence-based policymaking in the field of nutrition.

I hold a dual role with the United Nations World Food Programme and with the Nutrition Group at the London School. My primary responsibility lies with the Modelling & mapping risk of Inadequate Micronutrient Intake (MIMI) project, which aims to fill data gaps for micronutrient policy and programme planning using approches that rely on a combination of statistical inference and predictive modelling.

I have worked on various topics related to public health nutrition data, with prior experiences working for Epicentre, Médecins Sans Frontières, USAID, UNICEF, and Stanford University. I strongly value understanding the contexts behind the data that I analyse and have experiences working in Democratic Republic of the Congo, Niger, Ethiopia, Nigeria, India, Tanzania and Malawi. I was a Peace Corps volunteer in Cameroon, hold a PhD and MSc from the London School, and a B.S. in Environmental Science from UCLA.