Raghu Meka
UCLA CS AI / ML · Professor of Computer Science
Research focus: theoretical computer science · machine learning theory · pseudorandomness · complexity theory
手动审核申请准备：最强申请者将展示证明密集型 ML 理论、algorithms、复杂度以及 pseudorandomness 或严谨的学习理论准备。
Who this advisor fits / 什么情况下适合你
- Strongest applicants will show proof-heavy ML theory, algorithms, complexity, pseudorandomness, or rigorous learning-theory preparation.
- 最强申请者将展示证明密集型 ML 理论、algorithms、复杂度以及严谨的学习理论准备。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
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.