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Seo Jin Park

Assistant Professor of Computer Science


  • 2019, Doctoral Degree, Computer Science, Stanford University
  • 2013, Master's Degree, Electrical Engineering and Computer Science, Massachusetts Institute of Technology
  • 2013, Bachelor's Degree, Computer Science and Mathematics, Massachusetts Institute of Technology


I started my Assistant Professor job at USC Computer Science Department in 2023 Fall. Before joining USC, I spent a year at Google Systems Research Group.

I did my postdoc at MIT CSAIL with Prof. Mohammad Alizadeh. I received a Ph.D. in Computer Science from Stanford University in 2019, where I was advised by Prof. John Ousterhout. For my PhD study, I was supported by Samsung Scholarship (2013-2018).

I received a B.S. in Computer Science and in Mathematics, and a M.Eng in Electrical Engineering and Computer Science from MIT in 2013.

Research Summary

The goal of my research is to make warehouse-scale parallel systems efficient so that big data applications (e.g., DNN training, analytics) can run 100–1000x faster and 10-100x cheaper. For that goal, I have three thrusts: (1) Flash burst computing (2) Resource efficient deep learning (3) Distributed systems for energy efficiency.
To learn more about my research, please visit my website.

I previously worked on many areas in distributed systems: distributed deep learning system, distributed analytics, blockchain, resource fungibility, low-latency consensus, distributed system consistency, in-memory large-scale storage, server overload control. I usually publish to networked systems venues, such as NSDI, OSDI, SOSP.

  • Thomas Lord Department of Computer Science
  • SAL 244
  • Henry Salvatori Computer Science Center
  • 941 Bloom Walk, Los Angeles, CA 90089
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