Hi! I’m Ruby (Wei-Tzu Lee), a senior undergraduate in Electrical and Computer Engineering with a minor in Applied Mathematics at the University of Washington. My research focuses on machine learning systems, efficient inference, and hardware acceleration for AI workloads, spanning both cloud/datacenter infrastructure and resource-constrained edge devices. I am particularly interested in building systems that make modern AI models more efficient, scalable, and deployable in real-world settings. More recently, I have developed an interest in speech applications, including ASR, SpeechLMs, and speech-enabled agentic systems.

Since Fall 2024, I have been an undergraduate researcher in the Systems of 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