Arjun Devraj

PhD Candidate · Cornell University

adevraj [at] cs [dot] cornell [dot] edu

I'm a third-year 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.

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