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validation. Synthesize micro-scale parameters into predictive scaling laws, validated against bulk strand burner experiments. Mentor PhD students, publish research in leading peer-reviewed journals, and engage
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications
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monitoring systems, bedside monitoring devices, or medical device data. Experience linking physiologic waveform features to clinical outcomes. Experience with machine learning, deep learning, predictive
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intelligence as applied to trauma systems and acute care surgery. Fellows will engage in cutting-edge research spanning multiple domains, including risk prediction models for surgical complications, clinical
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baseline predictive models, and create reproducible pipelines with documentation and version control. Develop a plan for cross-disciplinary collaborations and a personal research portfolio. Year 2: Improve
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biological samples. By controlling the physical interface between biology and measurement, we aim to generate structured, high-quality datasets that enable rigorous quantitative analysis and predictive