I am a PhD student at the Institute of Science and Technology Austria (ISTA), advised by Christoph Lampert.
My research focuses on the theoretical foundations of differential privacy, particularly matrix factorization mechanisms for private machine learning and continual observation. I enjoy designing algorithms and studying their theoretical properties. More broadly, I am interested in connections between privacy, algorithms, statistics, learning theory, and optimization.
News
| Sep 29, 2026 | Our paper on pure-DP continual counting, joint work with Pavel Arkhipov, was accepted to SODA 2027—my first TCS conference paper! |
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| Sep 24, 2026 | Our paper on sampling-free privacy accounting, with Jan Schuchardt, was accepted to NeurIPS 2026. Looking forward to the trip to Sydney! |
| Jul 06, 2026 | Visited Yves-Alexandre de Montjoye’s group at Imperial College London and gave a talk on efficient noise correlation for DP training. |
| May 26, 2026 | Visited Aurélien Bellet’s group at Inria and gave a talk on efficient noise correlation for DP training. |
| Apr 24, 2026 | Presented Back to Square Roots at ICLR 2026 in Rio de Janeiro, Brazil. |
Selected Publications
For the full list of publications, see my Google Scholar profile.
- NeurIPS
- NeurIPS
- AISTATS
- NeurIPS