I'm a final-year PhD candidate at Northeastern University. I build systems to measure things on the internet at scale, and use them to study how privacy and AI governance play out in the real world.
My research focuses on web privacy and security, and internet measurement. Lately I've also been getting into AI privacy, security, and governance: how AI systems handle personal data and what it takes to make that auditable and safe. I write about what I find, and I'm actively looking for full-time roles and postdoc positions in industry or academia.
Projects
View all →Why Consent Fails in Practice: Lessons from Web Measurement Studies
An industry talk presenting findings from empirical web privacy measurement studies on failure modes in consent pipelines.
Google Topics API Privacy Audit
Measured whether Google's Topics API can be abused to infer users' demographics and sensitive interests from browsing history. Found predictive signals in 17 of 19 traits.
CCPA Privacy Signal Measurement System
Built a distributed crawler and audit pipeline to measure CCPA opt-out signal propagation across thousands of top websites, revealing widespread failures in enforcement.
Third Parties — Web Almanac 2025
Co-authored the Third Parties chapter of the 2025 HTTP Archive Web Almanac, analyzing third-party resource usage across millions of websites.
News
- Mar 2026 Industry talk accepted at PEPR 2026 — Why Consent Fails in Practice
- Jan 2026 Paper on Google's Topics API accepted at WWW 2026
- Jan 2026 Co-authored the Third Parties chapter of the 2025 Web Almanac
- Jun 2025 Presented Topics API poster at Google Ads Privacy Conference, Mountain View
- Nov 2024 Received travel grant; attended IMC 2024 in Madrid
- Jul 2024 Presented PETS 2024 paper in Bristol, UK
- Jun 2024 Best Paper Honourable Mention at AAAI ICWSM 2024