Zachary Donnini

Zachary is a Data Science master’s student at Harvard University and Head of Data Science at VoteHub. He previously worked in Data Science and Race Call at Decision Desk HQ and graduated from Yale University with majors in Statistics & Data Science and Economics.

His analysis has been published by The Hill, the Harvard Data Science Review, and Decision Desk HQ, with his work cited by The New York Times, Fox News, FiveThirtyEight, Newsweek, and the Silver Bulletin.

At VoteHub, he leads the development of comprehensive projects for real-time election analysis and visualization. His work combines advanced statistical methods with data storytelling to make electoral trends accessible to both technical and general audiences.

Zachary focuses on political data analysis, demographics, and U.S. elections. On Twitter, he shares quick thoughts and bite-sized insights, while on Data & Divergence he publishes deeper, long-form analysis on these topics.

Statement of Independence

My work is guided by a commitment to accuracy, impartiality, and methodological transparency in the analysis of elections and public opinion. I do not engage in partisan political activity, do not donate to candidates or causes, and am not registered to vote. I make a deliberate effort to separate personal views and relationships from my analytical work, and I do not accept gifts or compensation related to my coverage outside the scope of my employment with VoteHub. The aim of my analysis is not advocacy, but to present data-driven findings as clearly and honestly as possible, so that readers of all political perspectives can trust and evaluate the work for themselves, with full transparency about uncertainty, assumptions, and limitations.

Contact

For press, please reach out to Zachary at zdonnini@votehub.com.

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