Drew Humphreys
| Machine learning insights for team effectiveness
About
Drew Humphreys explores how machine learning can inform the way we build and lead more effective teams. Drawing on computational approaches to understanding human behavior, he examines patterns that distinguish high-performing groups from those that struggle to collaborate. At Duke University, Drew Humphreys has developed insights into team dynamics through a data-driven lens.
His work bridges the gap between algorithmic thinking and practical leadership, showing audiences how lessons from machine learning can translate into actionable strategies for improving collaboration, communication, and collective performance. His TED 2018 presentation introduced these concepts to a global audience, demonstrating how computational methods can reveal non-obvious principles about human teamwork. His approach offers organizations a fresh perspective on team building - one grounded in pattern recognition and systematic analysis rather than conventional wisdom alone.
For leaders looking to move beyond intuition and apply more rigorous frameworks to their people strategies, Drew Humphreys provides both the conceptual foundation and practical applications.
What Drew Talks About
How machine learning can teach us to build more effective teams
Data-driven approaches to understanding team dynamics
Applying computational thinking to leadership and collaboration
Pattern recognition in high-performing teams
Bridging technology and human behavior in organizational settings
Talks1
How machine learning can teach us to build more effective teams
Former Marine Corps lieutenant Drew Humphreys knows a thing or two about leadership. Before joining the business world, he was a platoon commander in Afghanistan, in charge of 36 Marines fighting the Taliban and maintaining a vital supply route through Helmand Province. He had to reconsider everything he knew about being a leader when he was forced to divide his platoon and give control over to other commanders. It was then Humphreys realized the surprising connection between this successful decentralized management model, and how we manage machine learning in business. His resulting leadership strategy offers three lessons on building a more effective team that every manager can learn from.
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