Bio


Peter Bailis is an assistant professor of Computer Science at Stanford University. Peter's research in the Future Data Systems group focuses on the design and implementation of next-generation, post-database data-intensive systems. His work spans large-scale data management, distributed protocol design, and architectures for high-volume complex decision support. He is the recipient of an NSF Graduate Research Fellowship, a Berkeley Fellowship for Graduate Study, best-of-conference citations for research appearing in both SIGMOD and VLDB, and the CRA Outstanding Undergraduate Researcher Award. He received a Ph.D. from UC Berkeley in 2015 and an A.B. from Harvard College in 2011, both in Computer Science.

Academic Appointments


Program Affiliations


  • Stanford SystemX Alliance

Professional Education


  • PhD, UC Berkeley (2015)
  • AB, Harvard College (2011)

2019-20 Courses


Stanford Advisees


  • Doctoral Dissertation Advisor (AC)
    Edward Gan, Sahaana Suri, Kai Sheng Tai
  • Master's Program Advisor
    Andrew Kondrich
  • Doctoral Dissertation Co-Advisor (AC)
    Peter Kraft
  • Doctoral (Program)
    Edward Gan, Daniel Kang, Kexin Rong