Michael McCarthy
CMU SCS
Research focus: radiomics and machine learning in medical imaging
手动审核申请准备：不要将 Michael McCarthy 视为 CMU 级别的 CS 教授目标，除非获得 CMU 的独立确认。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: radiomics and machine learning in medic…).
- For applicants, this is not a normal PhD-advisor target in CS AI. Treat it as useful teaching/project context around IoT, Web APIs, distributed systems, and applied information systems.
- 你想把 ML 接到真实数据与落地问题（当前信号：radiomics and machine learning in medic…）。
- 对于申请者而言，这并非一个常规的PhD型导师目标，而是CSAI个chi个物联网、WebAPIs、分布式系统及应用信息系统领域的有用茶ching/项目背景。
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.
- You need strong placement evidence, but public signals for this PI are still thin.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
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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