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 realworld 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

My paper on a overlap violations in external validity is forthcoming in the Annals of Applied Statistics.  

My paper with Harsh Parikh on recent advances in the generalizability literature will be appearing in Harvard Data Science Review.  

My paper with Sam Pimentel on variancebased sensitivity models for weighted estimators will be appearing in Biometrika!  

My paper on a sensitivity framework for considering overlap violations in external validity is now available on ArXiv (link).  

Our new working paper on evaluating the impact of AIassisted decisionmaking systems is now available on ArXiv (link). 
Design sensitivity and its implication on weighted observational studies
with Dan Soriano and Sam Pimentel
Does AI help humans make better decisions? A methodological framework for experimental evaluation
with Eli BenMichael, D. James Greiner, Kosuke Imai, Zhichao Jiang, and Sooahn Shin
Overlap violations in external validity
Annals of Applied Statistics (2024+)
Variancebased sensitivity analysis for weighted estimators result in more informative bounds
with Sam Pimentel
Biometrika (2024+)
Towards generalizing inferences from trials to target populations
with Harsh Parikh
Harvard Data Science Review (2024+)
Sensitivity analysis for the generalization of experimental results
Journal of the Royal Statistical Society: Series A (2024)
Leveraging population outcomes to improve the generalization of experimental results
with Naoki Egami, Erin Hartman, and Luke Miratrix
Annals of Applied Statistics (2023)
Improving precision in the design and analysis of experiments with noncompliance
with Erin Hartman
Political Science Research and Methods (2023)
Sensitivity Analysis for Survey Weighting
with Erin Hartman
Political Analysis (2023)
Higher Moments for Optimal Balance Weighting in Causal Estimation
with Brian Vegetabile, Lane Burgette, Claude Setodji, and Beth Ann Griffin
Epidemiology (2022)
Yale University
University of California, Berkeley (Graduate Student Instructor)
University of California, Los Angeles (Teaching Assistant)