Sima Raha

As part of my Data Science Fellowship, I am collaborating with Professor de Galbert to develop an interactive online textbook for Brown’s Education Department focused on applied statistics and quantitative research methods. The project involves building a Quarto-based website hosted on GitHub that integrates executable Stata code for Education 1230 and 2320.

As a Developer and Quantitative Research Assistant, my work centers on designing and implementing the technical infrastructure that supports reproducible quantitative analysis. This includes managing GitHub workflows, integrating Python and Jupyter Notebooks with Stata, and documenting a reproducible workflow. The resulting digital resource enables undergraduate and graduate students to run statistical analyses interactively, strengthening data science literacy and hands-on engagement with quantitative methods in statistics.