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How AI describes Github Eaglew

Data as of Sep 9, 2026 · Based on 3,265,539 AI responses across 10,525 prompts · See how Parse measures this

Github Eaglew logoGithub Eagleweaglew.github.io · Evidence updating
Evidence updating

Qingyun Wang is an Assistant Professor at William & Mary developing AI tools to automate the scientific research lifecycle, including literature understanding, hypothesis generation, and experiment execution. His lab focuses on building scientific multimodal foundation models, few-shot knowledge extraction, and research agents that interact with physical laboratories.

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