Andrew Krumm

I am an Assistant Professor of Learning Health Sciences, Assistant Professor of Information, and Assistant Professor of Surgery at the University of Michigan. My research combines psychometrics and machine learning to support process improvement in health, education, and health education systems.  A key element of my research involves working within quality improvement networks and collaboratives. I currently engage in data-intensive improvement research across two networks: the Society for Improving Medical Professional Learning (SIMPL) and the Michigan Urological Surgery Improvement Collaborative (MUSIC). For SIMPL, I serve as chief data scientist, and for MUSIC I am the program director of askMUSIC, a team focused on creating and disseminating clinical prediction models. Working at the intersection of psychometrics and machine learning, I have developed novel analytical approaches for combining system log data from digital learning environments and traditional assessment data as well as patient registry data with patient reported outcome measures. Previously, I was the Director of Learning Analytics Research at Digital Promise and a Senior Education Researcher in the Center for Technology in Learning at SRI International where I directed the Improvement Analytics group.

Research Snapshot

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