Hello! I am a researcher at Goodfire. Prior to that I was a post-doc at at Harvard with professors Martin Wattenberg and Fernanda Viégas. I did my PhD in computer science at the University of Michigan, advised by Professor Rada Mihalcea. My research interests are at the intersection of machine learning and interpretability. When I am not reverse-engineering neural networks, I enjoy playing tennis and rowing.
Select Publications
- Tensor Product Representation Probes Reveal Shared Structure Across Linear Directions. Preprint.
- Decomposing Query-Key Feature Interactions Using Contrastive Covariances. ICML 2026.
- Shared Global and Local Geometry of Language Model Embeddings. COLM 2025. Outstanding Paper Award.
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. ICML 2024. Oral.
- Emergent linear representations in world models of self-supervised sequence models. BlackboxNLP 2023. Honorable Mention, Best Paper.