Megha Joshi

Megha is a PhD candidate in the Quantitative Methods program at The University of Texas at Austin. Her research interests include causal inference, meta-analysis, and missing data analysis. She is currently working on her dissertation, examining cluster wild bootstrapping to handle dependent effect sizes in meta-analyses with a small number of studies.

Interests

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

Education

  • PhD in Quantitative Methods, 2021 (expected)

    The University of Texas at Austin

  • BA in Psychology and Art History, 2014

    Bryn Mawr College

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