Resume
Academic Achievements
- Selected papers:
- - ContextCite: Attributing Model Generation to Context (NeurIPS 2024)
- - Ask Your Distribution Shift if Pre-Training is Right for You (TMLR 2025)
- - Learning to Attribute with Attention (Preprint)
- Blog posts and software projects:
- - Using ContextCite for LLM reliability
- - ContextCite: Attributing Model Generation to Context
- - How Can We Harness Pre-Training to Develop Robust Models?
- - Ask Your Distribution Shift if Pre-Training is Right for You
- - Attribution with Attention (AT2): Efficiently attribute generated content to in-context information
- - Software tools include GitHub repository, Hugging Face demo, and PyPI package.
Research Experience
- Worked at Robust Intelligence for two years before starting his PhD at MIT.
Education
- BS in Computer Science from Stanford University; PhD in EECS at MIT, advisor Aleksander Mądry.
Background
- Research Interests: Developing AI systems that can be safely deployed. Background: Currently a PhD student in EECS at MIT, advised by Aleksander Mądry.
Miscellany
- Personal interests: Running, climbing, skiing, tennis, and volleyball.