Shira Zilberstein is a PhD candidate in sociology at Harvard University and a former Science and Technology Studies Fellow. Her research focuses on cultural sociology, science and technology studies, and organizations, using qualitative and mixed-methods. She is interested in the production, interpretation and evaluation of ideas and the dynamics between hegemonic and counter-hegemonic forms of knowledge in institutional and technical settings. Her dissertation analyzes applied interdisciplinary research collaborations and how knowledge is put into practice to define and address social problems. Drawing on the case study of researchers and labs working to create machine learning models for healthcare, the project analyzes how machine learning researchers define and seek to address healthcare challenges, the opportunities and constraints of approaching machine learning projects from within differently configured collaborations and organizations, and how researchers go about translating high level ethical principles (fairness, accountability, privacy, etc.) into projects through everyday decision making. The research speaks to core questions about the relationship between culture, organizations, scientific practice, and innovation, and how research fields grapple with creating solutions to systemic social problems that exceed technological fixes.