My research focuses on how teams learn, make decisions, and collaborate effectively in sociotechnical systems.
I study teams and technology, examining how training, expertise, and cognition shape performance in contexts ranging from human-AI teaming and human-robot interaction to open source and scientific software development. I also investigate how teams use computational technologies, including AI tools, to coordinate, innovate, and solve problems.
One of my current research projects, sponsored by the U.S. Department of Energy via a grant from Argonne National Laboratory, centers on advancing AI-enabled scientific computing ecosystems that integrate software and human expertise to accelerate discovery.
I’m a member of the faculty at the University of Montana (UM) and teach in UM’s Master of Science in Business Analytics program.
Research Highlights
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Presented research on collaboration in scientific software at the US Research Software Engineering Conference (October 2025).
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Co-organized the Toward Next-Generation Ecosystems for Scientific Computing Workshop hosted at Argonne National Laboratory (April-May 2025).
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Co-organized the Team Science in CSE for All Minisymposium at the SIAM Conference on Computational Science and Engineering (March 2025).
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Organized the Team Learning for Better Scientific Software Workshop hosted at the University of Central Florida’s Institute for Simulation and Training (November 2024).
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Awarded $311,019 by Argonne National Laboratory for a 3-year research project on team science and software development (September 2024).
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Published in the Journal of Systems and Software: my dissertation research examining company involvement in open source software development (July 2024).
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Published in Topics in Cognitive Science: my research analyzing the association between bots and productivity in open source software development (July 2024).
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Selected as a 2024 Better Scientific Software Fellow (December 2023).
