I am a 4th year PhD student in Computer Science (Secondary Field in Science & Technology Studies) at Harvard University, advised by Salil Vadhan and Jonathan Zittrain. I am excited to be an intern with danah boyd at Microsoft Research's Social Media Collective this summer.
At Harvard, I am part of the Theory of Computation group, Privacy Tools Project, and OpenDP team. I was a 2019-20 Assembly Student Fellow at the Berkman Klein Center, and I will join the Edmond and Lily Safra Center for Ethics this fall as a 2022-23 Graduate Fellow.
My research interests include privacy, cryptography, data epistemologies, and statistical infrastructures. My dissertation explores the technical, social, and political dimensions of differential privacy. Please reach out if you want to chat about any of these topics!
Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau’s Use of Differential Privacy
with danah boyd
Harvard Data Science Review, 2022.
Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling
with Mark Bun, Jörg Drechsler, Marco Gaboardi, and Audra McMillan
Foundations of Responsible Computing (FORC), 2022.
with Jörg Drechsler, Ira Globus-Harris, Audra McMillan, and Adam Smith
Journal of Survey Statistics and Methodology (JSSAM), 2022.
with Daniel Alabi, Audra McMillan, Adam Smith, and Salil Vadhan
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022.
Privacy Law Scholars Conference, 2021.