Inderjit Dhillon
UT Austin CS · Professor
Research focus: machine learning · data mining · large-scale data analysis · numerical linear algebra
保护项目 1 的预审审核：构建基于大规模 machine learning、data mining、numerical linear algebra、优化、bioinformatics、network analysis 的拟合路径，并引用一个可见的实验室主题、校友/就业模式、基准信号、招募/状态警告或当前研究领域，提出一个具体的第一学期的研究扩展。
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).
- Prepare with scalable ML, optimization/numerical linear algebra, data mining, graph/network analysis, and enough mathematical maturity to build algorithms rather than only use 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。
- 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）。
- 请准备具有可扩展性的 ML、优化/numerical linear algebra、data mining、图/network analysis以及足够的数学成熟度，以构建算法而非仅依赖模型。
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.