As Data-Pop Alliance’s Innovation Manager, Natalie’s key responsibilities include managing partnerships; overseeing project design and delivery; conducting and coordinating thematic research on topics such as inequality and data literacy; and contributing to development and implementation of training workshops.

Natalie is also Program Manager of the Open Algorithms (OPAL) project - a collaboration to design, develop and deploy an open algorithms platform and oversight process, which securely accesses private sector data for public good.

Prior to joining Data-Pop Alliance, Natalie most recently worked with a Big Data Analytics consultancy firm based in New York. After graduation she served as a Princeton in Latin America Fellow in partnership with Developing Minds Foundation, working with NGOs focusing on education in violence-affected and post-conflict communities in Brazil and Colombia. Natalie graduated with a BSE in Operations Research and Financial Engineering and certificates in Engineering and Management Systems and Latin American Studies from Princeton University.