Shruti's research focuses on exploring inequalities in education. She believes that the undeniable relationship between racial inequalities and educational inequalities represents a societal failure that betrays the spirit of humanity. She is looking at macro issues such as racial and economic segregation in schools in United States; and micro issues such as the effect of stereotype threat on educational outcomes.
Prior to UC Berkeley, she worked at Hewlett Packard as a Business Analyst. While at HP, she was teaching at a school where a majority of the students received free or reduced meals. It made her realize that education is inherently unfair – the children who start behind stay behind. She moved out of a corporate career to understand the nuances of the field of education and delve into the application of data analytics to the same.
Through her education and work experience, she has developed an interest in quantitative methods. At Berkeley, she has taken courses on multilevel modeling, causal inference, longitudinal modeling, measurement, item response theory, program evaluation and organizational theory. She is well versed with R, STATA, Python and MS Excel.
Specializations and Interests
equity and education; multilevel modeling; psychometrics; causal inference; segregation; stereotype threat