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My research involves policy-relevant issues at the intersection of data science and planetary health. I study how data science can be used to advance environmental justice both locally and internationally, addressing health issues for populations most vulnerable to climate change and environmental exposures. Locally, I investigate how to address environmental exposures, policies, and algorithms that further environmental injustices. Internationally, I develop approaches in collaboration with local organizations, NGOs, and UN agencies to advance health equity and disaster resilience for populations such as refugees and those in humanitarian contexts.

I completed my PhD in Biomedical Data Science at Stanford and obtained a BS in Statistics at the University of Chicago. I have also worked in data science roles for the World Health Organization and Médecins Sans Frontières.