Arjun Devraj
PhD Candidate · Cornell University
adevraj [at] cs [dot] cornell [dot] edu
I'm a PhD candidate in computer science at Cornell University, where I'm advised by Rachee Singh. My research interests are broadly in systems and networking, with a focus on distributed machine learning and wide-area networking. I'm particularly interested in using new optical and photonic technologies to overcome communication bottlenecks in distributed machine learning systems. My work is supported by the NSF Graduate Research Fellowship.
Before graduate school, I spent two years as a software engineer at Meta, where I worked on privacy infrastructure for the ads recommender system. Previously, I received my bachelor's degree in Computer Science, summa cum laude, from Princeton University, where I worked with Jennifer Rexford on network privacy and with Tom Griffiths and Qiong Zhang on computational cognitive science.
Recent News
- Sept 2026 Our vision for designing adaptive collective communication algorithms will appear at HotNets 2026.
- Aug 2026 λλ won the Best Paper Award at SIGCOMM 2026!
- Jul 2026 Concord and PCCL will appear at NSDI 2027.
- May 2026 Passed my A Exam and officially became a PhD candidate!
- May 2026 λλ will appear at SIGCOMM 2026.
Publications
Invited Talks and Presentations
- Microsoft Azure RDMA Transport Group (August 2026)
- Google Networking Research Summit (October 2025)
- ACE Center for Evolvable Computing (August 2025)
- Meta Workshop on WAN Control (October 2025)
- Workshop on Reconfigurable Networks (June 2025)
- Cornell Systems Research Seminar (March 2024)