I am interested in data-intensive systems, large-scale data management, and distributed systems.
I lead the Stanford Future Data Systems research group.
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 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.
Our group's research is generously supported in part by Toyota and RWE AG.
Software-Defined HW Workshop 4/7
NorCal DB Day 4/29
Data By The Bay 5/19
GOTO Chicago 5/24
SAP HANA TechDays 6/24-25
Officially started at Stanford as an assistant professor of Computer Science! Onwards and upwards!
I posted my talk transcript from NorCal DB Day, about the future of data management tools and what databases can learn from Le Corbusier.
I wrote about getting started in research.
I talked at Papers We Love Boston about "Streaming Queries over Streaming Data" (from VLDB 2002). Slides here.
Lots of activity on MacroBase. Welcome to our Future Data Systems Spring quarter rotators!
I'm talking about MacroBase next month at the Stanford Computer Forum's Annual Meeting on April 12th.
I'm thrilled to join my colleagues as part of the Secure Internet of Things project.
New paper draft on our MacroBase engine: analytic monitoring for IoT.
I wrote a post on lean research.
I'm honored to be included in the 2016 Forbes 2016 "30 under 30" in Enterprise Technology. Thanks, Forbes!
I wrote a new post on why I enjoyed graduate school.
Our research group site is live!
Readings in Database Systems, 5th Edition, co-edited with Joe Hellerstein and Mike Stonebraker is now online at redbook.io.
I'm talking at GOTO Chicago in May 2016.
Thanks to Toyota for generously supporting our ongoing research on systems for scalable anomaly detection.
I'm excited to join the editorial board of ACM Queue and help lead a new section on research in practice.
I've posted my Ph.D. thesis! Many thanks to all who helped make this possible.
We posted a write-up of our experiences and thoughts regarding asynchronous distributed optimization within a dataflow framework on the arXiv.
I talked at StrangeLoop about "When Worst is Best (in Distributed Systems Design)"; check out the deck and video!
I'm looking for graduate students!
In light of upcoming graduate student fellowship deadlines, I posted about and shared my NSF GRFP materials.
Posted slide decks from MesosCon (keynote video) and SIGMOD on coordination-avoiding systems design and concurrency control in open source applications.
Relocated to Cambridge, MA for the year.
I'm giving a keynote at MesosCon 2015 (August 20-21 in Seattle) on "Silence is Golden: Coordination-Avoiding Systems Design."
I'll be spending next year visiting the MIT CSAIL DB and systems groups.
I'll be speaking at Strange Loop 2015 (September 24-26 in St. Louis) on "When Worst is Best (in Distributed Systems Design)."
Accepted a tenure-track assistant professor position with Stanford Computer Science!
Selected Publications Full List · Google Scholar