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.
Education
- PhD in Quantitative Methods | 2021
The University of Texas at Austin - BA in Psychology and Art History | 2014
Bryn Mawr College
Interests
- Causal inference
- Meta-analysis
- Machine learning
- Missing data analysis
- Robust variance estimation
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