I'm currently studying computer science and electrical engineering at UC Berkeley. I'm also interning at Q Labs, focusing on efficient LLM pretraining. This past summer, I post-trained agents at Standard Kernel. Previously, I was researcher #3 at AfterQuery, and interned at AMD on AI tooling.
At Berkeley Sky Computing Lab, I've been fortunate to collaborate with Mert Cemri on ML systems. Before this, I worked with Lisa Dunlap at Berkeley AI Research on model behavior and safety.
In my spare time, I enjoy playing golf, basketball, chess, and (occasionally) poker.
Latest
- Intuition as Compressed Verification
- Atlas for ML Research
- Hadamard and Monarch: Compressing GPT-2 Small
- Moravec's Paradox
- Autoencoders
- Is EAGLE-3 Speculative Decoding Lossless?
- From QK-Clip to Muon-Clip
- Parallel Transformer Blocks
- Token Embeddings Violate the Manifold Hypothesis
- Reflections on BayLearn
- Our project, Dementor, was accepted to BayLearn 2025 as an oral presentation (<5%)!
- Representative Sampling of High-Dimensional Point Sets
- We release VADER, a security benchmark for LLMs!
