I am a research and data consultant with the MIT Election Data and Science Lab. I received my PhD in political science from Harvard in May of 2017, and my research applies statistical methods to timely questions about voting accessibility and the way we run elections in the United States. My work informs broader discussions about topics like representation, accountability, race, and effective governance. In the field of methodology, I study causal inference, Bayesian analysis, and statistical computing with big data. My research has been featured in several peer-reviewed journals including Science, Political Science Quarterly, and Electoral Studies.
In 2013, I received a Masters degree in statistics from Harvard. I graduated from the University of Georgia with a Master of Arts degree in political science and Bachelor of Arts degrees in political science and history.