I’m a doctoral student in the Department of Media, Culture, and Communication at New York University, where I work with Helen Nissenbaum. I’m also a Student Fellow at the Information Law Institute at the School of Law and a member of the Institute’s Privacy Research Group.
My dissertation examines the novel challenges that data mining poses to privacy, fairness, and autonomy, particularly in the context of marketing and sales. I am generally fascinated by emerging applications of machine learning and much of my research focuses on the ethical and epistemological issues that they raise. I’ve written on the use of predictive analytics for counterterrorism, voter microtargeting in political campaigns, the impact of data mining techniques on model-building in economics and finance, and the integration of evidence-based medicine with clinical decision support systems. I’ve also collaborated on projects that have explored policies for facial recognition technology, alternatives to the current model of online behavioral advertising, and the limitations of decentralized and distributed architectures.
I currently work with the Intel Science & Technology Center for Social Computing under its Algorithmic Living research theme, and have previously worked with the Berkman Center for Internet and Society at Harvard University on the Global Network Initiative, the Center for Global Communication Studies at the University of Pennsylvania on NGOs as information intermediaries, and the Stern School of Business at New York University on its Social Impact program. During the 2010-2011 academic year, I was also a Visiting Fellow at the Centre for the Study of Invention and Social Process at Goldsmiths, University of London.
I have an MSc in International Relations from the London School of Economics and graduated from Brown University with a BA in International Relations and Modern Culture and Media, where I worked on the Information Technology, War, and Peace project at the University’s Watson Institute for International Studies.