My research interests include pervasive computing systems for smart health and well-being, broadening participation of groups that have been historically excluded and marginalized in computing, and evidence-based approaches to improving computer science education. I’m interested in developing pedogogical techniques (and the creation of supporting computing systems) that advance equity, inclusion, and student learning outcomes in computer science. In particular, I’m interested in socially and culturally relevant approaches that use large-scale, dynamic data sets in introductory computer science courses. My lab is also exploring the development of predictive systems that incorporate wearable computing and behavior change techniques to encourage persistence on computer science assignments and help to enhance learning outcomes. Finally, I’m interested in developing theory and implementing and studying interventions that address the systemic barriers that exclude Black and Hispanic students and women students in computing, with approaches for change that are grounded in justice-centered and anti-racist frameworks.