mail_outline Email: melodyyhuang [asperand] berkeley [dot] edu
Twitter: @melodyyhuang
I'm a Statistics Ph.D. candidate at University of California, Berkeley, working with Prof. Erin Hartman. My research broadly focuses on developing robust statistical methods to credibly estimate causal effects under real-world complications.
Outside of statistics, I spend my time thinking about coffee beans, how it's not fair that women can't safely run at night, and optimal board game strategies.
Recent News
Sensitivity Analysis in the Generalization of Experimental Results
Variance-based Sensitivity Analysis for Weighted Estimators Result in More Informative Bounds
with Sam Pimentel
Improving Precision in the Design and Analysis of Experiments with Non-Compliance
with Erin Hartman
Sensitivity Analysis for Survey Weighting
with Erin Hartman
Political Analysis (Forthcoming; 2023+)
Leveraging Population Outcomes to Improve the Generalization of Experimental Results
with Naoki Egami, Erin Hartman, and Luke Miratrix
Annals of Applied Statistics (Forthcoming; 2022+)
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