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Ian Foster
PeerJ Advisor & Author
340 Points

Contributions by role

Author 270
Preprint Author 70

Contributions by subject area

Bioinformatics
Data Mining and Machine Learning
Data Science
Computer Networks and Communications
Distributed and Parallel Computing
Security and Privacy
World Wide Web and Web Science

Ian Foster

PeerJ Advisor & Author

Summary

I am a computer scientist with a predilection for building software systems (and, more recently, for deploying services) that solve problems in the sciences. I am a Distinguished Fellow at Argonne National Laboratory and a Professor at the University of Chicago. I am affiliated, in particular, with the Department of Computer Science, Data Science and Learning Division, and Institute for Molecular Engineering.

Computational Science Distributed & Parallel Computing Scientific Computing & Simulation

Editing Journals

PeerJ Computer Science

Past or current institution affiliations

University of Chicago

Work details

Senior Scientist, Distinguished Fellow, Division Director

Argonne National Laboratory
Data Science and Learning Division, Department of Computer Science

Professor

The University of Chicago
Computer Science

Websites

  • Google Scholar
  • Globus Labs

PeerJ Contributions

  • Articles 2
  • Preprints 1
August 29, 2018
BioWorkbench: a high-performance framework for managing and analyzing bioinformatics experiments
Maria Luiza Mondelli, Thiago Magalhães, Guilherme Loss, Michael Wilde, Ian Foster, Marta Mattoso, Daniel Katz, Helio Barbosa, Ana Tereza R. de Vasconcelos, Kary Ocaña, Luiz M.R. Gadelha
https://doi.org/10.7717/peerj.5551 PubMed 30186700
January 15, 2018
The Modern Research Data Portal: a design pattern for networked, data-intensive science
Kyle Chard, Eli Dart, Ian Foster, David Shifflett, Steven Tuecke, Jason Williams
https://doi.org/10.7717/peerj-cs.144
September 12, 2017 - Version: 2
The Modern Research Data Portal: A design pattern for networked, data-intensive science
Kyle Chard, Eli Dart, Ian Foster, David Shifflett, Steven Tuecke, Jason Williams
https://doi.org/10.7287/peerj.preprints.3194v2