Barzan Mozafari
University of Michigan CSE · Associate Professor of Computer Science and Engineering
Research focus: machine learning for databases · data-intensive systems · approximate query processing · database learning
手动审核申请准备：作为数据系统申请人，Barzan Mozafari 需以数据库、ML 为数据库、approximate query processing、学习的数据管理、云系统、稳健可预测的分析和优化为目标。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: machine learning for databases · data-intensive systems).
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Strong fit for applicants who want ML/statistics inside database systems, learned data management, approximate query processing, and startup-facing systems research.
- 你想把 ML 接到真实数据与落地问题（当前信号：machine learning for databases · data-intensive systems）。
- 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）。
- 适合申请希望将 ML/统计模型 cs 嵌入数据库系统、掌握数据管理、以及面向初创企业的系统研究的人员。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
- 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。
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