I am a PhD candidate in Statistics & Data Science and Political Science at Yale University. My research lies at the intersection of political methodology, statistics, and computational social science, with a focus on simulation-based inference, diagnostics, and the principled interpretation of statistical quantities.
I develop computational methods and new ways of thinking about familiar statistical practices, helping researchers understand both what they can legitimately claim from their analyses and what they cannot. My work addresses the crucial step of translating statistical output into scientific claims with greater rigor, transparency, and honesty about the limits of what data can support.