Resume
Academic Achievements
- How Do Language Models Compose Functions? (2025)
- $100K or 100 days: Trade-offs when Pre-Training with Academic Resources (2024, COLM 2025)
- Analyzing Modular Approaches for Visual Question Decomposition (2023, EMNLP 2023)
- Altamira Comet proof-of-concept (2023, Acta Astronautica)
- What's in a Decade? Transforming Faces Through Time (2022, Eurographics 2023)
- A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge (2022, ECCV 2022)
- Simple but Effective: CLIP Embeddings for Embodied AI (2022, CVPR 2022)
Research Experience
- Worked at the Allen Institute for AI; collaborated with Noah Snavely and Hadar Averbuch-Elor during undergraduate studies at Cornell.
Education
- PhD in Computer Science at Brown University (2022-Present), advised by Chen Sun and Ellie Pavlick.
Background
- Fourth-year CS PhD student at Brown, with research interests in modularity & compositionality in large language models. Supported by Brown's Presidential Fellowship from 2022–2025. Worked at the Allen Institute for AI and collaborated with Noah Snavely & Hadar Averbuch-Elor as an undergrad at Cornell.