I am a PhD student in computer science at Brown University and the CNTR advised by Suresh Venkatasubramanian. I'm interested in questions at the intersection of CS and policy, with an emphasis on incentives, alignment, and avoision.
Previously, I received an S.M. in technology and policy from MIT advised by Dylan Hadfield-Menell and a joint B.A. in computer science and mathematics from Scripps College as a cross-campus major at Harvey Mudd College.
Feb 11, 2026: Gave a talk on Alignment Problems in AI Governance at the Simons Institute for the Theory of Computing with Greg Demirchyan. Recording available here.
Aug 14, 2025: Gave a talk on Red Teaming AI Policy as part of the DLA Piper guest speaker series. Thanks to the inspirational Bogdana Rakova for the invitation!
May 20, 2025: Gave a talk on Data Privacy and AI at UpperBound AI (organized by the University of Alberta) in Edmonton, Canada. Thanks to the amazing Professor Bailey Kacsmar for the invitation!
Mar 09-14, 2025: Attended Schloss Dagstuhl Seminar 25112 on privacy-enhancing technologies and AI in Wadern, Germany (where I met and reunited with my research role models). Thanks to the organizers for the invitation!
Feb 17, 2025: Gave a talk on Data Protection and AI for the Mila - Quebec AI Institute FATE and Society Reading Group. Thanks to Khaoula Chehbouni and Taylor Lynn Curtis for the opportunity to speak with such a wonderful audience!
At Google, I contributed functionality to enable (ε, 0)-differential privacy with Client-Specified Partitions for Privacy on Beam for histograms. I was lucky to be mentored by Raine Serrano, Miraç Basaran, and Chris Jones.
At Sony AI, I researched privacy regulation and case law on biometric technologies, co-authoring a publication at ACM FAccT. I was lucky to be mentored by Alice Xiang.
At NIST, I contributed to the policy harmonization crosswalks connecting global policy developments with the AI Risk Management Framework. I was lucky to be mentored by Reva Schwartz and Mark Latonero.