My research focuses on making computing infrastructure programmable, efficient, and dependable, from datacenters to the network edge. I build abstractions and runtime systems for predictable performance and resilience, and develop methods to automate systems policy design and enable realistic evaluation.
Recent News [all]
- [09/2026] Dooly accepted to appear at NeurIPS 2026
- [07/2026] Received an NSF VINES award for real-time agricultural robotics with AI-native cellular edge computing
- [07/2026] LFS accepted to appear at NSDI 2027
- [05/2026] PacketExpress accepted to appear at SIGCOMM 2026
- [03/2026] Mimesys accepted to appear at OSDI 2026
- [12/2025] SMEC accepted to appear at NSDI 2026
- [09/2025] PacketExpress and PolicySmith accepted to appear at HotNets 2025
Research Thrusts
Programmable, Efficient, and Resilient Datacenter Infrastructure
Abstractions and runtime systems for programming heterogeneous hardware, managing shared compute, memory, and network resources, and enabling efficient recovery from failures
Alkali (NSDI'25) · ExoPlane (NSDI'23) · RedPlane (SIGCOMM'21) · TEA (SIGCOMM'20)
Predictable and Resilient Real-Time Edge Computing
Systems and abstractions for sharing wireless network and nearby server resources to deliver predictable, secure, and resilient interactive applications
SMEC (NSDI'26) · ARMA (MobiSys'25) · 5G Fronthaul Security (USENIX Security'24) · Slingshot (SIGCOMM'23) · Atlas (MobiCom'23)