Making all research data accessible, discoverable, and usable

Globus Labs is a research group led by Prof. Ian Foster and Dr. Kyle Chard that spans the Department of Computer Science at the University of Chicago and the Data Science and Learning Division at Argonne National Laboratory. Our modest goal is to realize a world in which all research data are reliably, rapidly, and securely accessible, discoverable, and usable. To this end, we work on a broad range of research problems in data-intensive computing and research data management. Our work is made possible by much-appreciated support from the National Science Foundation, National Institutes of Health, Department of Energy, National Institute of Standards and Technology, and other sources, and in addition to computer science, engages fields as diverse as materials science, biology, archaeology, climate policy, and social sciences. We work closely with the team developing the Globus research data management platform, who often challenge us to think bigger—and sometimes implement our less crazy ideas.


Deep learning workflow and dataset for toxicity prediction.

We are developing methods to automate the scientific data lifecycle.

funcX is a Function as a Service platform for scientific computing.


Nathanial Hudson joined our team as a post-doc after finishing his PhD at the University of Kentucky!

Max presented to the Circuit IR Compilers and Tools (CIRCT) Open Development Meeting on his work to compile neural networks to FPGAs.

Ben and Ian co-authored a paper on needs for analyzing microscopy datests with our friends at UW-Madison.

The Globus Labs team part of two new NSF CSSI grants:

  • Garden - A new project which will make ML/AI models accessible to more scientists
  • Continuing support for Parsl, an open source library for parallel Python on HPC