I study the interpersonal fabric of teams — how relationships, conflict, and interdependence unfold over time — using a network and dynamic-systems lens to explain when collaboration helps and when it hurts.
Most team research treats a group as the sum of its members. My work reframes the team as an evolving web of relationships — who trusts, conflicts with, and depends on whom — and traces how those patterns shift moment to moment to shape performance.
Drawing on social-network analysis, dynamic modeling, and multiteam-systems research, I develop theory and methods that capture what static measures miss: the timing, structure, and micro-foundations of how people actually work together.
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A live look at the questions currently on my desk — from manuscripts under review to newly funded explorations of AI and teamwork.
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From doctoral seminars that train the next generation of scholars to MBA and undergraduate courses that bring organizational behavior to future managers, I translate rigorous team science into practical, level-appropriate learning.
My research is grounded in real organizations — emergency-response systems, action teams, and the changing role of AI in collaboration. I partner with practitioners who want evidence-based answers to hard questions about how their teams work.
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