Raef Bassily
Ohio State University CSE · Associate Professor of Computer Science and Engineering
Research focus: machine learning theory · differential privacy · optimization · privacy-preserving data analysis
保护编号 3 的自动审核：请按照 differential privacy 的格式提交，并作为 ML 的私人申请者，同时提供学习理论、information theory 或 privacy-preserving data analysis 类别的申请人资格。
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.
- Strong fit for applicants in machine learning theory, differential privacy, optimization; verify current advising capacity and the professor's primary appointment before outreach.
- 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 machine learning theory、differential privacy 和 optimization 类别中符合条件的申请人，请核实当前导师的在职指导能力以及其主要任职情况，以便提前开展联系工作。
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.