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.


We are developing methods to automate the scientific data lifecycle.

An open source machine learning platform for scientists

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


Globus Labs welcomes new Ph.D. student Aswathy Ajith! She will be working on information extraction systems for scientific data using natural language processing techniques.

On June 22nd, Tyler Skluzacek will present the Globus Labs paper entitled “A serverless framework for bulk metadata extraction” at HPDC 2021.

After some fiddling around, Raf’s collaboration paper on the structure of violins – “Materials engineering of violin soundboards by Stradivari and Guarneri” – has been accepted by Angewandte Chemie, one of the top three chemistry journals in the world!

Globus Labs welcomes our BigDataX REU students. BigDataX is co-hosted by the UChicago and IIT.