JANUS: Practical Load Balancing for Confidential Cloud Services
ACM SIGOPS Annual Technical Conference (ATC), 2026
About me
I am a Ph.D. student in computer science at Max Planck Institute for Informatics, advised by Prof. Anja Feldmann and Prof. Balakrishnan Chandrasekaran.
I am broadly interested in systems and networking. Currently, my research focuses on:
Practical, Performant, and Cost-Efficient Video Streaming
Partially Reliable Transport
At MPI, I was also fortunate to work with Prof. Laurent Bindschaedler on blockchain analytics systems (AlterEgo) during my research immersion lab.
During my Ph.D., I was a research intern at Nokia Bell Labs, where I worked on JANUS, a practical load-balancing architecture for confidential cloud services built on trusted execution environments (TEEs).
Prior to MPI, I got my B.S. degree in the joint program between Queen Mary University of London and Beijing University of Posts and Telecommunications in 2020.
Recent news
- Oct 2026Spectra is accepted to the CoNEXT 2026 Student Workshop! Spectra is our work exploring practical layered video streaming. Congrats to the team!
- Sep 2026JANUS is accepted to ATC 2026! JANUS is work from my internship at Bell Labs. Congrats to the team!
- Oct 2025I started a research internship at Nokia Bell Labs in Stuttgart, working on remote attestation over TLS for confidential cloud services.
- Mar 2024AlterEgo is accepted to EdgeSys 2024! AlterEgo is work from my Ph.D. research immersion lab at MPI. Congrats to the team!
Older news
- Sep 2023I will be a teaching assistant for the seminar Hot Topics in Data Networks next semester.
- Apr 2023QSDP is accepted to ICML 2023!
- Apr 2023I will be a teaching assistant for the core courses Data Networks and Distributed Systems next semester.
- Sep 2022Started my Ph.D. at the INET group, MPI for Informatics.
- Apr 2022LinkGuardian is accepted to APNet 2022!
Selected publications
AlterEgo: A Dedicated Blockchain Node For Analytics
International Workshop on Edge Systems, Analytics and Networking (EdgeSys), co-located with EuroSys, 2024
Quantized Distributed Training of Large Models with Convergence Guarantees
International Conference on Machine Learning (ICML), 2023
LinkGuardian: Mitigating the impact of packet corruption loss with link-local retransmission
Asia-Pacific Workshop on Networking (APNet), 2022