Rada Mihalcea
University of Michigan CSE · Janice M. Jenkins Collegiate Professor of Computer Science and Engineering; Director, Michigan AI Lab
Research focus: natural language processing · large language models · computational social science · multimodal NLP
保护类 2 项申请准备审计：以 NLP 申请人标准准备，并具备一项具体的语言 - 技术贡献：LLMs、多语言 NLP、computational social science、multimodal NLP 或人文中心语言分析。
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 · large language models).
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Strong fit for applicants in NLP/LLMs, computational social science, language technologies, and multilingual/multimodal NLP; LIT has unusually transparent current and alumni data.
- 你想把 ML 接到真实数据与落地问题（当前信号：natural language processing · large language models）。
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 对于在 NLP/LLMs、computational social science、language technologies 以及多语言/multimodal NLP 类别的申请人而言，LIT 拥有异常透明的当前与校友数据。
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
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.