Biography
I joined Microsoft Azure Research – Systems (AzRS), focusing on systems for AI efficiency.
I obtained my PhD in Computer Science at UIUC, advised by Prof. Ravishankar K. Iyer, where I was affiliated with the DEPEND research group in the Coordinated Science Laboratory.
I am broadly interested in distributed systems, with a focus on performance, resilience, and sustainability.
My PhD research focuses on designing and integrating ML/RL-based solutions seamlessly (i.e., efficiency, robustness, and reliability) with algorithm-system co-design into the design and management of production cloud systems:
➪ [ATC24, AIOps24, SoCC24] Energy-efficient, SLO-aware interactive LLM serving
➪ [ATC23, NeurIPS23, MLSys24] Robust, at-scale ML model deployment in cloud systems
➪ [SoCC22, NeurIPS22] Multi-tenant serverless computing resource management
➪ [OSDI20, DSN24] Sustainable, intelligent, and resilient microservices resource management.
Before joining UIUC, I got my bachelor’s degree in Computer Science from the University of Hong Kong (HKU). I was advised by Prof. Heming Cui at the HKU Systems Software Group.
In the past, I have worked with IBM Research, Google SRG, and Microsoft Research.
You can find my CV here and my PhD dissertation here.
Interests
- AI/ML Systems (e.g., LLM)
- Distributed Systems
- Cloud Computing
- ML for Systems / AIOps
Education
Ph.D. in Computer Science, 2024
University of Illinois, Urbana-Champaign
B.Eng in Computer Science, 2019
University of Hong Kong
Visiting Student, 2018
University of Wisconsin-Madison
Microsoft Azure Research
Google LLC
IBM Research