I focus on the ethics of machine learning, particularly applications that affect people’s life chances and their everyday experiences on online platforms. At the moment, I’m exploring issues of fairness in machine learning, methods for bringing accountability to automated decision-making, the privacy implications of inference, and the role that privacy plays in mitigating economic inequality.
I was previously a Postdoctoral Research Associate at the Center for Information Technology Policy at Princeton University. I completed my doctorate in the Department of Media, Culture, and Communication at New York University, where I remain a Visiting Scholar at the Center for Urban Science + Progress and an affiliate of the Information Law Institute. I also routinely work with the Data & Society Research Institute, where I’m an affiliate as well.