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projects involve mechanisms such as lipid signaling, particle-biomolecular interactions, regulation of inflammation, and immune dysfunction. The laboratory utilizes a variety of techniques but uniquely
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integrity, immune–metabolic interactions, and organismal health during aging and metabolic disease. The fellow will conduct independent and collaborative research projects investigating molecular and
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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on Aging (NIA) and includes an experience sampling methodology (ESM) study of daily cognition and social interactions in older adults, as well as multi-method data collected from the Minnesota Twin Registry