news
| Nov 15, 2026 | I will be joining the Data Science & AI Lab (dlab) at EPFL in Lausanne as a postdoctoral researcher in November, where I will be working with Robert West on AI alignment and safe AI. |
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| Sep 28, 2026 | I am starting a three-month pilot of Verified Mechanisms, a project on formally verified autoresearch for theoretical mechanistic interpretability. |
| Jun 18, 2026 | I have been selected for the MATS extension phase in London, where I am continuing my research from the program. My research investigates the representation level picture of alignment pretraining: comparing how models acquire a preference through post-training versus incorporating it directly during pretraining, and what mechanistic differences this leaves behind in their internal representations. |
| Jan 06, 2026 | I will be participating in MATS 9.0 (ML Alignment & Theory Scholars Program) in Berkeley. I will be working with Adam Shai and Paul Riechers (Simplex AI Safety) on interpreting Chain of Thought in Toy Models using Computational Mechanics. |
| Jul 17, 2025 | I’m attending ICML 2025, where I’ll be presenting some of my recent work on interpretability in large language models: |
| Jul 10, 2025 | I’m participating in MARS 3.0 (Mentorship for Alignment Research Students), a research program run by the Cambridge AI Safety Hub. As part of this program, I will be working alongside a group of talented researchers on problems related to Chain-of-Thought reasoning in AI systems. |
| May 27, 2025 | Workshop Announcement: Interpretability in LLMs using Geometric and Statistical Methods I am organizing a workshop taking place on May 27-28 where we will explore recent developments in interpretability for large language models (LLMs) using geometric and statistical methods. For further details, check out the workshop page. |