Profile

She is interested in conducting policy-relevant research that uses interdisciplinary, social science perspectives to examine the causes and consequences of racial and socioeconomic disparities in students’ educational and psychosocial outcomes, such as school discipline, achievement, learning mindsets, and sense of belonging. She primarily uses experimental and quasi-experimental techniques as well as descriptive, quantitative research methods for policy analysis in her research. She hopes to engage more with other burgeoning data science methods to address some of the most persistent issues of educational inequality by fusing her expertise in causal inference with "big data" techniques.