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and atomic-level assembly of cell walls, extracellular structures, and are constructing blueprints of how bacteria use these building blocks to engineer organized and dynamic architectures. We
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and AI-driven computational approaches to reconstruct and redefine tissue architecture in 3D space. The goals of these projects are to uncover the rules governing the spatiotemporal dynamics of tumor
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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and/or vision science Experience with Javascript, development of web apps and database architecture is a plus but not required Desire to work in a fast paced, collaborative team-science environment
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-augmented generation (RAG) approaches. Familiarity with LLM architectures (e.g., GPT, BERT, T5), Transformer-based modeling, and clinical NLP is highly desirable. Experience with cloud platforms such as