I’m 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, during which time I was also a Student Fellow at the Information Law Institute at the School of Law and a member of the Institute’s Privacy Research Group.
I’m generally fascinated by emerging applications of machine learning and much of my research focuses on the ethical and epistemological issues that they raise. My dissertation examined the novel challenges that data mining poses to fairness and privacy. I’ve looked at 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 have worked with the Intel Science & Technology Center for Social Computing under its Algorithmic Living research theme, 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.
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.