Megha Joshi

Megha completed her PhD in the Quantitative Methods program at The University of Texas at Austin. Her dissertation work examined cluster wild bootstrapping to handle dependent effect sizes in meta-analyses with a small number of studies. She now works as quantitative researcher at the American Institutes for Research. Her research interests include causal inference, meta-analysis, and missing data analysis.


  • Causal inference
  • Meta-analysis
  • Machine learning
  • Missing data analysis
  • Robust variance estimation


  • PhD in Quantitative Methods, 2021

    The University of Texas at Austin

  • BA in Psychology and Art History, 2014

    Bryn Mawr College