Research
My Expertise and Experience
Broadly, I study knowledge development, integration, and management for complex tasks and cooperative work. My expertise is based on a robust theoretical and methodological foundation in the cognitive and social sciences blended with the skilled application of approaches advanced in the computer and network sciences. I have conducted research in the areas of:
⟣ knowledge development in interdisciplinary science teams
⟣ diversity, learning, and knowledge loss in software projects
⟣ social behavior and information spread in online platforms
⟣ artificial social intelligence for human-machine teams
⟣ intelligent interface design to improve performance
⟣ information visualization to support decision making
⟣ team cognition and collaboration in space missions
My research has been published and presented in journals and conferences associated with organizations across disciplines including IEEE, ACM, INFORMS, ICSSI, INGRoup, INSciTS, and HFES. I am highly collaborative and my boundary spanning skills are reflected in the interdisciplinary projects to which I am a prior or current contributor. A summary of these projects can be found here.
My dissertation research examining the relationship between diversity and corporatization in open source software projects was conceived at the Santa Fe Institute as part of their Graduate Workshop in Computational Social Science and refined with guidance from an interdisciplinary group of mentors: Stephen M. Fiore (Cognitive Science), Gita Sukthankar (Computer Science), Kelly Blincoe (Software Engineering), Ivan Garibay (Industrial Engineering), and Carol Saunders (Management).
I received UCF's 2022-2023 University Award for Outstanding Dissertation which recognizes the quality, content, and exceptional contribution of my research.