Last updated on Aug. 29 2024

About

Hi there! I am a first-year Ph.D. student in Computer Science at NYU Courant, advised by Prof. Aurojit Panda. Before that, I worked as a full-time Machine Learning Platform R&D Engineer in the Applied Machine Learning(AML) department at ByteDance. I obtained my BSc in Computer Science at New York University Shanghai, and was advised by Prof. Grace Liu.

Currently I am working on fault tolerance infrastructure for microservices and clustered applications. I have also worked on secure network management for some while.

I am looking for research opportunity in Distributed Systems and Networks, I am also willing to explore in PL/SE for Systems. Specifically, I am currently interested in:

• building efficient and realible cloud clusters through efficient fault tolerance and effective cluster management.

• building easy-to-use and extensible cross-layer acceleration techniques and interfaces (e.g. optimizing usage of eBPF, smartNIC; isolation of in-network resources in multi-tenant context), and

• improving the observability of cloud systems and networks (e.g. distributed tracing, shared logging, event infrastructure, and XDP tracepoints).

That said, I am open to any interesting problems in the broader Systems area.

Contact me through the email address in the menu.