David Jurgens
University of Michigan CSE · Associate Professor of Information; Associate Professor of Computer Science and Engineering
Research focus: natural language processing · computational social science · online communities · language and social behavior
手动审核申请准备：以 NLP/计算社会科学申请人身份准备：online communities、 moderation、毒性、语言变化、社会行为或 human-centered NLP。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: natural language processing · computational social science).
- Strong fit for NLP applicants who want language plus social systems, online communities, moderation, or computational social science, especially if they can show empirical NLP depth.
- 你想把 ML 接到真实数据与落地问题（当前信号：natural language processing · computational social science）。
- 适合申请 NLP 类别的申请人，希望具备语言与社会科学系统的综合背景，同时具备 online communities、NLP 或 computational social science 领域的调节能力，特别是当申请人能够展示实证层面的 NLP 深度时。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
Public evidence as of 2026-06-10
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