Bella is a social scientist, data maven, and all-around student of humanity, with a background in combining quantitative and qualitative data to tell stories about human behavior at all levels, from individual idiosyncrasies to the highest of high politics. As a Data Science Assessments Designer at General Assembly, she sets performance and learning standards for the data science industry. Before GA, as the Founding Data Scientist at Group Project, she improved how businesses see and use their employees, for better team-building and better outcomes.
Bella graduated from Princeton University with a Ph.D. in Politics. Her dissertation research analyzed the strategy and management of interstate territorial disputes, using a variety of methods, including game theory, statistical analysis, and case studies, to explain political outcomes. Prior to Princeton, she received an A.B. in Government from Harvard University, with language certificates in French and Spanish, and studied abroad at the University of Paris III: Sorbonne Nouvelle. A rusty, but heritage, Mandarin speaker, she also studied for a summer during graduate school at the Inter-University Program (IUP) at Tsinghua University in Beijing. Her eternal struggle to maintain proficiency in these languages is ongoing.
In her spare time, Bella serves on the Board and chairs the Voting Reform Initiative at the League of Women Voters of New York City and moonlights as a texting organizer and DEI co-chair for Red2Blue.