Hi! I’m Wei-Tzu (Ruby) Lee, a recent graduate in Electrical and Computer Engineering with a minor in Applied Mathematics from the University of Washington. I’m broadly interested in machine learning systems, with a focus on efficient inference for large language models and multimodal models, particularly speech language models, as well as emerging agentic workloads.

From Fall 2024 to July 2026, I was fortunate to be an undergraduate researcher in the Systems for Future Intelligence (SyFI) Lab in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Professor Baris Kasikci.

Publications

• Murmur: An Efficient Inference System for Long-Form ASR
  Wei-Tzu Lee, Keisuke Kamahori, Baris Kasikci
  arXiv, 2026 [Preprint]
  [PDF]

• VoxServe: Streaming-Centric Serving System for Speech Language Models
  Keisuke Kamahori, Wei-Tzu Lee, Atindra Jha, Rohan Kadekodi, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci
  arXiv, 2026 [Preprint]
  [PDF]

Talks

• Towards Efficient Systems for Long Context ASR
  MLSys Young Professionals Symposium, 2026