Deepti Raghavan
Deepti Raghavan is an incoming Assistant Professor of Computer Science at Brown University, starting in summer of 2024, and she is currently completing her PhD at Stanford, advised by Philip Levis and Matei Zaharia. Her research interests are in systems and networking, particularly in designing and building systems with efficient communication abstractions to improve the performance of networked applications. Recently, she has been working on systems support for compound AI applications. She has received the Distinguished Artifact award at SOSP and an NSF Graduate Research Fellowship.

Deepti’s sessions

Deepti will be contributing to these sessions at Data + AI Summit 2024:
Yejin Choi/

University of Washington

Ken Goldberg/

University of California Berkeley

Omar Khattab/


Monica Lam/


Noam Brown/


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