Research

My research focuses on the design and management of human-in-the-loop sociotechnical systems. I am particularly interested in how systems engineering, artificial intelligence, and human factors can be integrated to develop human-centered digital twins and decision-support systems. Across my work, I combine model-based systems engineering, simulation, machine learning, optimization, and qualitative methods to understand complex system behavior and support better decisions. While much of my current work is centered on healthcare, the broader goal is to develop approaches that can be applied across safety-critical and human-intensive systems.

Digital Twins for Clinician Workload and Burnout

I am developing a human-in-the-loop digital twin framework for understanding and managing clinician workload and burnout. The work integrates healthcare operations data, clinician-reported measures, machine learning, simulation, and systems modeling to characterize how workload emerges over time and how system-level interventions might improve clinician well-being.

EHR-Based Prediction of Clinician Workload

This work investigates whether routinely collected electronic health records activity can be used to predict clinician workload. I am particularly interested in the trade-offs between population-level and personalized models and in using explainable machine learning to identify the activities most strongly associated with workload. 

Modeling Healthcare Work as a Sociotechnical System

I use model-based systems engineering and simulation to represent interactions among clinicians, patients, workflows, information systems, and organizational processes. These models are intended to support experimentation with system changes before they are implemented in real clinical environments.

Digital Engineering Transformation

I study digital engineering transformation as a sociotechnical challenge rather than a purely technological one, with particular attention to organizational barriers, policy goals, workforce considerations, and the implementation of model-based systems engineering.