+ Welcome!
mail_outline Email: melody.huang@yale.edu
Twitter: @melodyyhuang
I'm currently an Assistant Professor of Political Science and Statistics & Data Science at Yale. My research broadly focuses on developing robust statistical methods to credibly estimate causal effects under real-world complications.
Before this, I was a Postdoctoral Fellow at Harvard, working with Kosuke Imai. I received my Ph.D. in Statistics at the Unversity of California, Berkeley, where I was fortunate to be advised by Erin Hartman.
Recent News
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My paper with Mellissa Meisels and Tiffany Tang on estimating consensus ideal points is now available on ArXiv (link). | |
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Our paper on sensitivity analysis for clustered observational studies is forthcoming in Journal of the Royal Statistical Society: Series A! | |
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Our paper on evaluating AI-assisted decision-making will be appearing in the Proceedings of the National Academy of Sciences! | |
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My paper with Cory McCartan on relative bias under imperfect identification in observational causal inference is now available on ArXiv (link). | |
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Our paper on design sensitivity for weighted observational studies is forthcoming in the Journal of the Royal Statistical Society: Series A! | |