I’m a Research Associate and Adjunct Professor in Management Information Systems at the University of Montana (UM) and teach courses in programming and statistics.
My research focuses on how individuals and teams learn, make decisions, and collaborate effectively in sociotechnical systems. I primarily 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.
Before joining UM, I was a Postdoctoral Scholar in the Cognitive Sciences Lab and earned a Ph.D. in Modeling and Simulation at the University of Central Florida.
In my free time, I enjoy hiking, cycling, and baking.
Recent News
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Co-authored the article Ecosystems for scientific computing in the age of artificial intelligence published in IEEE Computing in Science & Engineering (July 2026).
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Presented research on teamwork and AI in scientific computing at the Platform for Advanced Scientific Computing Conference (PASC26) (June 2026).
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Recognized on the UM Trailblazer Wall of Fame for development of fully accessible online course (May 2026).
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Co-organized the Toward Next-Generation Ecosystems for Scientific Computing Workshop hosted at Argonne National Laboratory (April 2026).
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Co-authored the Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science (October 2025).
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Presented research on collaboration in scientific software at the US Research Software Engineering Conference (October 2025).
