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generative AI pipelines to process multimodal data for downstream analysis, developing teaching/tutor/district-facing systems to surface analytic insights. Applicants with experience in some—but not
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AI frameworks that: (i) integrate thousands of genome assemblies and multimodal biological datasets to uncover the genomic determinants of species resilience, adaptation, and extinction vulnerability
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assemblies and multimodal biological datasets to uncover the genomic determinants of species resilience, adaptation, and extinction vulnerability, and (ii) translate these genomic insights into actionable
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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. A major focus of our work is studying how undergraduate STEM courses can be tailored to meet the needs of all learners. Current projects involve studying STEM instructor perceptions of student