Kyle Chard

Kyle Chard is a Research Professor in the Department of Computer Science at the University of Chicago and a researcher at Argonne National Laboratory. He holds a Ph.D. in Computer Science from Victoria University of Wellington (2011) and focuses on cloud computing, distributed systems, and high-performance computing. His work emphasizes scalable data management and automation in scientific research.

Education:

• Ph.D., Computer Science, Victoria University of Wellington, 2011
• BSc (Hons) and BSc in Computer Science and Mathematics, Victoria University of Wellington

Research Interests: Kyle’s research bridges computational systems and scientific domains such as biology, earth science, and astrophysics. Key areas include distributed function serving (e.g., funcX), reproducible research (Whole Tale), and cost-aware cloud computing. His interdisciplinary approach addresses challenges in data-intensive computing and research automation.

Publications: Over 150+ publications in top venues like IEEE/ACM conferences, focusing on workflow systems, distributed computing, and scientific data management. Recent work explores AI-driven workflows and exascale computing.

Awards:

• IEEE TCHPC Early Career Award (2020)
• R&D100 Award (Globus Team, 2019)
• New Zealand Top Achiever Doctoral Scholarship

Grants & Leadership: NSF-funded projects on distributed computing, reproducibility, and cloud infrastructure. Co-leads Globus Labs and the CERES Center for Unstoppable Computing. Community contributions include Parsl (parallel Python), DLHub (ML model serving), and funcX (function-as-a-service).

Labs & Collaborations:

• Globus Labs: Data management and automation
• CERES Center: Resilient computing systems
• Collaborations with NASA, DOE, and NSF initiatives