Bo Li
University of Chicago CS · Neubauer Associate Professor of Computer Science and Data Science
Research focus: trustworthy machine learning · AI safety · robustness · privacy
对于手动应用li认证准备审计：请准备为Bo Li：构建可信的ML、AI安全、robustness、privacy、security、对抗性ML、基础模型评估或安全AI应用li。
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 trustworthy ML, adversarial robustness, privacy/security, and AI safety applicants; check current advising home because lab pages are in transition.
- 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。
- 对于值得信赖的 ML、对抗性 robustness、privacy/security 以及 AI safety 应用的 li 候选者，请检查当前指导办公室，因为实验室页面正在过渡中。
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.