Contributor

Kyle Chard is a Research Associate Professor in the Department of Computer Science at the University of Chicago. He also holds a joint appointment at Argonne National Laboratory. He received his Ph.D. in Computer Science from Victoria University of Wellington, New Zealand in 2011. He is a member of the ACM and IEEE, received the IEEE TCHPC Award for Excellence for Early Career Researchers in HPC, was part of the Globus team that won an R&D100 award, and received the New Zealand Top Achiever Doctoral Scholarship. He co-leads the Globus Labs research group, which focuses on a broad range of research problems in data-intensive computing and research data management. He leads NSF-funded projects related to distributed and parallel computing, scientific reproducibility, research automation, and cost-aware use of cloud infrastructure.