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Deepti Raghavan

PhD Student in Computer Science at Stanford University

Deepti Raghavan is a recent PhD graduate from Stanford University, where she focused her research on operating systems, networking, and machine learning systems. She completed her doctorate in 2024, having been advised by notable professors Matei Zaharia and Phil Levis, and collaborated closely with Irene Zhang. Raghavan also received prestigious fellowships during her studies, including the National Science Foundation Graduate Research Fellowship in 2019 and a Stanford School of Engineering Fellowship in 2018-2019.146

In August 2024, she began her role as an Assistant Professor in the Department of Computer Science at Brown University. Her academic background includes both a Bachelor's degree and a Master of Engineering from MIT, where she conducted research in the Networks and Mobile Systems group.125

Raghavan has contributed to several significant publications in her field, including works presented at conferences such as EuroMLSys, SOSP, and ACM SIGCOMM. Her research often emphasizes efficient networking and machine learning systems.136

Outside of academia, Raghavan enjoys making lattes and playing the violin, reflecting her diverse interests beyond computer science.1

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Deepti Raghavan
Deepti Raghavan, photo 1
Deepti Raghavan, photo 2
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Experience

Research Assistant at MIT CSAIL, Jan 2017 - Sep 2018; Intern at Cisco Meraki, Jun 2016 - Aug 2016

Education

PhD in Computer Science at Stanford University, 2018 - 2024, MEng in Computer Science, MIT, 2017 - 2018; BS in Electrical Engineering & Computer Science, MIT, 2013 - 2017

Location

Scarsdale, New York