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.


Big group effort on Exascale Machine Learning has been published in The International Journal of High Performance Computing Applications.

Hong’s “Challenges and Advances in Information Extraction from Scientific Literature” has been accepted into The Journal of The Minerals.

Tekin’s “High-Performance Ptychographic Reconstruction with Federated Facilities” has been accepted into SMC2021.

Globus Labs welcomes new postdoc Valerie Hayot! Valerie recently completed her Ph.D. in Software Engineering at Concordia University (Canada).