Arjun Devraj
Email: adevraj [at] cs [dot] cornell [dot] edu
I'm a second-year PhD student in Computer Science at Cornell University, where I'm advised by Rachee Singh.
My research interests are in computer networking, especially in optimization problems for wide-area networks, data-center networks, and systems for machine learning.
Most recently, I've been working on traffic engineering in wide-area networks and collective communication in distributed machine learning.
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.
Email /
Google Scholar /
LinkedIn /
GitHub
|
|
Research
|
A case for server-scale photonic connectivity
Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar, Rachee Singh
ACM HotNets, 2024
[pdf]
|
Reconciling categorization and memory via environmental statistics
Arjun Devraj, Thomas L. Griffiths, Qiong Zhang
Psychonomic Bulletin & Review, 2024
[pdf]
[code]
|
REDACT: Refraction Networking from the Data Center
Arjun Devraj, Liang Wang, Jennifer Rexford
ACM SIGCOMM Computer Communication Review (CCR), 2021
[pdf]
|
The Dynamics of Exemplar and Prototype Representations Depend on Environmental Statistics
Arjun Devraj, Qiong Zhang, Thomas L. Griffiths
Proceedings of the 43rd Annual Conference of the Cognitive Science Society, 2021
[pdf]
|
|