Deepti Raghavan

I am a second year PhD student in computer science at Stanford. My research interests largely focus on distributed systems and networking. I am advised by Matei Zaharia and Phil Levis. I am supported by a National Science Foundation Graduate Research Fellowship (2019) and a Stanford School of Engineering Fellowship (2018-2019).

I received both my Bachelor's (2017) and my M.Eng (2018) degrees at MIT, where I researched in the Networks and Mobile Systems group in CSAIL, under Hari Balakrishnan. I also collaborated closely with Keith Winstein. My work focused on congestion control; I worked on CCP.

POSH: A Data-Aware Shell.
Deepti Raghavan, Sadjad Fouladi, Philip Levis, Matei Zaharia.

Model Assertions for Monitoring and Improving ML Models.
Daniel Kang*, Deepti Raghavan*, Peter Bailis, Matei Zaharia.
MLSys 2020, Austin, Texas.

Model Assertions for Debugging Machine Learning.
Daniel Kang*, Deepti Raghavan*, Peter Bailis, Matei Zaharia.
NeurIPS MLSys Workshop 2018, Montreal, Canada.
ICLR DebugML Workshop 2019, New Orleans, Louisiana.

Restructuring Endpoint Congestion Control.
Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Prateesh Goyal, Srinivas Narayana, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan.
ACM SIGCOMM 2018, Budapest, Hungary.

Pantheon: the training ground for Internet congestion-control research.
Francis Y. Yan, Jestin Ma, Greg Hill, Deepti Raghavan, Riad S. Wahby, Philip Levis, Keith Winstein.
Usenix ATC 2018, Boston, USA. Awarded Best Paper!

deeptir [at] cs [dot] stanford [dot] edu

I am always on the lookout for a good scone, and I enjoy making lattes. Once I contributed a small Linux kernel commit :P.