Ce Zhang
University of Chicago CS · Neubauer Associate Professor of Computer and Data Science
Research focus: machine learning systems · data-centric AI · scalable machine learning · decentralized AI infrastructure
手动审核申请准备：申请人应作为 Ce Zhang 系统、ML 系统、ML 系统、AI 系统、AI 平台、数据/模型流水线或AI 基础设施的data-centric AI 系统。
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).
- Strong fit for data-centric/scalable ML systems applicants; note current CTO role and verify advising capacity.
- 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）。
- 适用于数据导向且具备可扩展性的ML系统申请人的强匹配度；请注意当前首席技术官（CTO）职位及确认其指导能力。
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.