+ 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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+ Research

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+ Teaching

Yale University

  • PLSC 500: Foundations of Statistical Inference (Fall 2024 - Present)
  • PLSC 503/S&DS 614: Causal Inference (Spring 2025 - Present)

University of California, Berkeley (Graduate Student Instructor)

  • STAT 232: Experimental Design (Spring 2023)
  • POLI SCI 236B: Quantitative Methodology in the Social Sciences (Spring 2022)

University of California, Los Angeles (Teaching Assistant)

  • STAT 100C: Linear Models (Spring 2019)
  • ECON 412: Fundamentals of Big Data (Spring 2019)