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reasoning can be combined with data-driven models of patient trajectories, and how we can rigorously determine when AI-generated clinical decisions are reliable. A central focus of the lab is developing
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and reproducible workflow management. Experience working comfortably at scale: large and unwieldy data frames, high-performance computing clusters or cloud compute, and workflows that must run reliably
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-grounding, and evaluation infrastructure in collaboration with technical team members and external partners. Evaluation. Develop rigorous approaches to assessing accuracy, reliability, neutrality
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