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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
