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to understand innovation behaviors and processes and cultivate innovation ecosystems in complex organizations tackling multi-stakeholder, multi-attribute challenges. -Contribute to the Institute for
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instrumentation. A recurring theme of the group’s work is the development and rigorous benchmarking of computational methods for complex, high-dimensional problems. More information on the group and its
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complex spectral data. Advanced computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets
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independently research complex technical topics, analyze information from multiple sources, and develop technically sound conclusions and recommendations. Ability to work effectively with undergraduate and