Public health officials need better data-driven tools to make critical decisions in the midst of the pandemic
The COVID Modeling Accelerator was created to support a cohort of academic research teams to meet the needs of state and local decision-makers for actionable insights to better respond to the unprecedented challenges of the COVID-19 pandemic.
I worked with the Electricity Growth and Use in Developing Economies (e-GUIDE) Initiative to help set objectives, design an approach and implement a first version of their public-facing API.
The eGUIDE initiative was created by academic teams
I founded the San Francisco Bay Area chapter of DataKind in 2013, and served as one of the chapter leaders for several years. I helped develop sustainable networks and processes for the chapter, and executed strategies for managing and training volunteers, building and supporting networks of organization-partners, and various operations.
I continue to advise and consult with DataKind Global and the Bay Area chapter.
DataKind brings together data scientists with leading social change organizations for pro-bono collaborations to improve social impact.
