I'm a junior studying computer science and electrical engineering at UC Berkeley. Currently, I am interning at Q Labs, focusing on efficient pretraining for generalization.
At Berkeley Sky Computing Lab, I've been fortunate to collaborate with Mert Cemri on ML systems and evolutionary algorithms. Previously, I worked with Lisa Dunlap at Berkeley AI Research on model behavior and alignment. I've also post-trained and harnessed agents at Standard Kernel, developed AI tooling at AMD, and built evals at AfterQuery.
In my spare time, I enjoy playing golf, basketball, chess, and poker.
Latest
- 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!
