Majid Sarrafzadeh
UCLA CS AI / ML · Distinguished Professor of Computer Science and Electrical and Computer Engineering
Research focus: data science · health analytics · AI for health data · embedded systems
手动审核申请准备：作为应用健康 -AI / 数据系统申请人，请准备临床或公共卫生领域的数据、可穿戴/嵌入式传感、统计建模、隐私、验证或决策支持工具。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: data science · health analytics).
- Best fit for applicants in health analytics, applied data science, AI-enabled clinical/public-health tools, embedded health systems, and algorithmic data modeling; source-visible student-collaborator
- 你想把 ML 接到真实数据与落地问题（当前信号：data science · health analytics）。
- 最佳匹配适用于在 health analytics、data science、AI 启用临床/公共卫生工具、嵌入健康系统以及算法数据建模的申请人；该申请将源可见的学生 - 合作者证据提交至 UCLA CS 关于 Olivia/COVID 数据的 mit 故事。
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.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
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。
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