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efficiency and accuracy in link-tracing designs (e.g. Respondent driven sampling) Partial graph data collection strategies for networks (e.g. Aggregated Relational Data) Large scale models for anomaly
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program employs several methods to study driving including a standardized road test, self-report driving habits, and naturalistic driving behavior using the Driving Real-world In-Vehicle Evaluation System
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of Computational Plasma Physics and Fusion Science. Our research group develops high-fidelity physics models, implements novel computational algorithms to solve the models, and applies these computational tools
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be for self-directed research including publications, dissertation, and developing an independent research agenda. The Quality Evidence for Health System Transformation (QuEST) Network is an initiative