Jianqing Fan
Princeton CS · Frederick L. Moore '18 Professor of Finance; Professor of Statistics and ORFE
Research focus: statistical machine learning · high-dimensional statistics · data science · financial econometrics
手动审核申请准备：申请人应围绕统计学的 ML 进行阐述：高维推断基础、data science 的基石、经济学与金融领域的 cs 应用，或严谨的 AI 建模方法。
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).
- Applicants should frame fit around statistical ML: high-dimensional inference, data science foundations, econometrics/finance applications, or rigorous AI methodology.
- 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）。
- 申请人应围绕统计学的 ML 框架进行阐述：高维推断、data science 基础、经济学与金融应用，或严谨的 AI 模态学。
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.