Claire Cardie
Cornell CS · Professor, Computer Science and Information Science; Associate Dean for Education, Cornell Bowers CIS
Research focus: natural language processing · machine learning · information extraction · text mining
保护项目 1 的预审审核：从 natural language processing 开始，并选取教授主页上的一项近期项目或出版物；撰写一段关于您可在第一学期开始的特定扩展的合适摘要。
Who this advisor fits / 什么情况下适合你
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Use this row primarily as a research-fit and current-affiliation signal; verify recent student outcomes through current students, alumni, and the graduate program.
- 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。
- 工业研究或创业/转化路径对你有吸引力（公开去向里占比不低）。
- 围绕「自然语言处理、机器学习、information extraction、text mining、computational social science」准备申请叙事：结合公开证据说明研究深度、可复现产出，并自行核实招生与资助（原文为英文策展句，此处为方向性摘要）。
What to watch for / 什么情况下要慎重
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你把「教职为唯一目标」且完全不想碰工业/转化网络。
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.