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.
Focus Areas: Cloud Computing, Distributed Systems, High Performance Computing, Scientific Computing
My research is motivated by exploring a range of challenging scientific problems and developing and applying new computational and data-intensive approaches. I focus on a range of systems problems, often in high performance parallel and distributed computing, with the aim to develop new techniques for scalable and efficient management and analysis of large data. My interdisciplinary research has been applied in several scientific domains, including in biology, earth science, materials science, astrophysics, and archaeology.
Find out more about my active research projects on the Globus Labs website