Scholar
Melody Huang
Google Scholar ID: kXDRcOAAAAAJ
Yale University
Citations & Impact
Citations
304
H-index
8
i10-index
7
Publications
17
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Papers Published:
- - 'Evaluating AI-assisted decision-making' will appear in the Proceedings of the National Academy of Sciences.
- - 'Relative bias under imperfect identification in observational causal inference' with Cory McCartan is now available on ArXiv.
- - 'Design sensitivity for weighted observational studies' is forthcoming in the Journal of the Royal Statistical Society: Series A.
- - 'Generalizing complier average causal effects' with Zhongren Chen is now available on ArXiv.
- - 'Sensitivity analysis for clustered observational studies' with Eli Ben-Michael, Matthew McHugh, and Luke Keele is now available on ArXiv.
Research Experience
- Assistant Professor of Political Science and Statistics & Data Science at Yale; Postdoctoral Fellow at Harvard.
Education
- Ph.D. in Statistics from the University of California, Berkeley, advised by Erin Hartman; Postdoctoral Fellow at Harvard, working with Kosuke Imai.
Background
- Research Interests: Developing robust statistical methods to credibly estimate causal effects under real-world complications. Currently an Assistant Professor of Political Science and Statistics & Data Science at Yale.
Miscellany
- Email: melody.huang@yale.edu
- Twitter: @melodyyhuang
Co-authors