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.

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 his work 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 Accountability

I will not always be right. Elections are complicated, everyone is imperfect, and analytical judgment inevitably involves uncertainty. I will make bad predictions, have flawed takes, and miss things. Sometimes, I will even make sound probabilistic predictions that will be “wrong” because the favorite loses. Because of this, I will make a deliberate effort to emphasize uncertainty, especially when discussing future events. I encourage readers, peers, and critics to push back on anything I say, especially when they think I have overlooked evidence, framed something unfairly, overstated certainty, or reached the wrong conclusion. When I make mistakes, I will aim to acknowledge them clearly, correct the record, apologize when appropriate, and aim to do better. My goal is not to appear infallible, but to be transparent, intellectually honest, and worthy of trust over time.

Contact

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

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