mail_outline Email: melodyhuang@fas.harvard.edu
Twitter: @melodyyhuang
I'm currently a Postdoctoral Fellow at Harvard, working with Kosuke Imai. I will be joining Yale as an Assistant Professor in Fall 2024. My research broadly focuses on developing robust statistical methods to credibly estimate causal effects under realworld complications.
Before this, 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 with Dan Soriano and Sam Pimentel on design sensitivity for weighted observational studies is now available on ArXiv (link)!  

My paper with Erin Hartman on sensitivity analysis for survey weighting will be appearing in Political Analysis!  

I will be presenting on variancebased sensitivity models at the Online Causal Inference Seminar!  

Our paper on sensitivity analysis for survey weighting was chosen as one of the ASA 2023 Student Paper Competition winners!  

I will be presenting my work on sensitivity analysis at University of Pennsylvania's Causal Inference Seminar. 
Sensitivity Analysis in the Generalization of Experimental Results
Variancebased Sensitivity Analysis for Weighted Estimators Result in More Informative Bounds
with Sam Pimentel
Design Sensitivity and Its Implication on Weighted Observational Studies
with Dan Soriano and Sam Pimentel
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)
University of California, Berkeley
University of California, Los Angeles