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.

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

Parallel scripting in Python


Visiting Student Tim Shaffer had his paper, “Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications”, accepted to be presented and published in the proceedings of IPDPS ‘21.

Tak successfully defended his Masters Thesis: “A Data-driven Novel Cloud Classification Framework based on An Efficient Cloud Representation via Rotational and Non-Rotational Invariant Autoencoder.” Congrats Tak!

Parsl and Funcx were featured by Dennis Gannon in the eScience Group’s blog. Check out the article here: “A Look at Parsl and FuncX: Two Excellent Parallel Scripting Tools for Clouds and Supercomputers.” along with some great examples using these tools!