Peter Bailis is affiliated with Stanford University in the United States and has made contributions primarily within the field of Computer Science. Their research spans multiple subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, and Information Systems.
The scientist's work covers several main topics such as Cloud Computing and Resource Management, Advanced Database Systems and Queries, Machine Learning and Algorithms, Machine Learning and Data Classification, Advanced Image and Video Retrieval Techniques, Data Management and Algorithms, and Distributed Systems and Fault Tolerance.
Peter Bailis has coauthored papers with several frequent collaborators, including:
Peter Bailis's publications appear frequently in venues such as:
Recent papers by Peter Bailis include:
Their interdisciplinary research includes work bridging computer science and biomedical applications, as indicated by publications related to cardiology and cardiovascular medicine. The body of work demonstrates involvement in both theoretical and applied aspects of machine learning and data management.
Daniel Kang;John Emmons;Firas Abuzaid;Peter Bailis
Peter Bailis;Ali Ghodsi;Joseph M. Hellerstein;Ion Stoica
Peter Bailis;Aaron Davidson;Alan Fekete;Ali Ghodsi
Peter Bailis;Shivaram Venkataraman;Michael J. Franklin;Joseph M. Hellerstein
Peter Bailis;Ali Ghodsi
Peter Bailis;Alan Fekete;Michael J. Franklin;Ali Ghodsi
Peter Mattson;Christine Cheng;Cody Coleman;Greg Diamos
Firas Abuzaid;Peter Bailis;Jialin Ding;Edward Gan
Peter Bailis;Alan Fekete;Ali Ghodsi;Joseph M. Hellerstein
Peter Bailis;Alan Fekete;Joseph M. Hellerstein;Ali Ghodsi
Peter Bailis;Kyle Kingsbury
Peter Mattson;Christine Cheng;Gregory F. Diamos;Cody Coleman
Daniel Kang;Peter Bailis;Matei Zaharia
Cody Coleman;Daniel Kang;Deepak Narayanan;Luigi Nardi
Peter Bailis;Alan Fekete;Ali Ghodsi;Joseph M. Hellerstein
Daniel Crankshaw;Peter Bailis;Joseph E. Gonzalez;Haoyuan Li
Peter Bailis;Alan Fekete;Michael J. Franklin;Ali Ghodsi
Peter Bailis;Ali Ghodsi
Karthik Dantu;Bryan Kate;Jason Waterman;Peter Bailis
Cody Coleman;Christopher Yeh;Stephen Mussmann;Baharan Mirzasoleiman
Daniel Abadi;Anastasia Ailamaki;David Andersen;Peter Bailis
Peter Bailis;Aaron Davidson;Alan Fekete;Ali Ghodsi
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens doors to numerous flexible and accessible educational opportunities. Many online colleges that accept 2.0 gpa allow students with a wide range of academic backgrounds to start their journey without the pressure of perfect grades.
For those looking to earn credentials quickly, fast track computer science degree programs let you complete your studies at an accelerated pace—ideal for launching a tech career sooner.
Computer science skills also complement careers in related fields. For instance, understanding what what can you get with an environmental science degree can reveal interdisciplinary positions where data analysis, programming, and technology play a key role in solving environmental challenges.
Similarly, students interested in sustainability and technology may consider an environmental engineering degree online. These programs often include coursework in computing, equipping graduates for high-demand roles in tech-driven sectors.
KU Leuven
Broadcom (United States)
University of North Carolina at Chapel Hill
University of Kentucky
University Medical Center Groningen
Slovak Academy of Sciences
Oregon State University
Centre national de la recherche scientifique, CNRS
Microsoft (United States)
Goethe University Frankfurt
Algorand Foundation
University of California, Berkeley
King Saud University
University of Southern California
Swansea University
Universidade de São Paulo
