About
Secure and trustworthy AI. My main research focuses on provenance and attribution for generative models. I develop and evaluate fingerprinting and watermarking methods under realistic attacks, with applications in content authenticity and digital forensics. My broader interests include privacy and fairness.
AI ethics and governance. I am broadly interested in the ethical and governance questions raised by AI. My recent work examines how AI affects education and learning, including what credentials should still certify and which human capacities education should preserve.
AI for science. My earlier research spans computational biology, single-cell imaging, and mechanics. I remain interested in machine learning for scientific measurement and discovery.
PhD advisor: Dr. Marc Juarez.
News
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Jul 20262 papers accepted to AIES 2026 examine what credentials should still certify and what capacities education should preserve when cognitive work is delegated to AI.
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May 2026Released SPRINT, a secret pixel reconstruction method for robust attribution of AI-generated images under adaptive attacks.
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Mar 2026Our SaTML 2026 paper Smudged Fingerprints was featured by Herald Scotland, DIGIT, and University of Edinburgh News.
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Mar 2026Gave a guest lecture on Image Provenance in the AI Era at the University of Edinburgh (slides).
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Apr 2025Presented SoK: What Makes Private Learning Unfair? at SaTML 2025 in Copenhagen.
View earlier updates
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Dec 2024SoK: What Makes Private Learning Unfair? accepted to SaTML 2025, providing the first causal analysis of fairness degradation induced by differential privacy.
Publications
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SaTML '26
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AIES '26
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AIES '26
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arXiv
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SaTML '25
View full publication record
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Bio Protoc
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J. Cell Sci.
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J. Cell Biol.
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Sci. Rep.
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Biomed. Eng. Online
Note: * denotes equal contribution (co-first author).
Teaching and Mentoring
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LectureGuest lecture on Image Provenance in the AI Era for the graduate course Privacy and Security with Machine Learning — University of Edinburgh. The slides are available here.
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Teaching Assistant
- Privacy and Security with Machine Learning — University of Edinburgh (2023–2025)
- Mathematical Image Analysis — Johns Hopkins University (2019–2020)
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Research TutoringFelipe Takaesu (JHU), Eliana Crentsil (JHU), Lucia Sablich (JHU), Shannon Flanary (JHU), Chunhan Fang (UoE).
Academic Service
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Journal
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Conference / Workshop