Marek Skowroński
CMU SCS
Research focus: advanced memory and neural computing
人工审核申请准备：将本申请视为核心 CMU 类型的 CS AI 申请目标是不恰当的；该申请实为 CMU 材料科学/设备组意外暴露于 AI 关键词。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: advanced memory and neural computing · Phase-change materials and chalcogenides).
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Prepare for materials/device research: phase-change memories, chalcogenides, electromigration, 2D devices, TEM/imaging, process integration, and semiconductor manufacturing. The right applicant profil
- 你想把 ML 接到真实数据与落地问题（当前信号：advanced memory and neural computing · Phase-change materials and chalcogenides）。
- 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）。
- 准备材料/器件研究：包括相变存储器、二硫化钼、电迁移、二维器件、透射电镜/成像、工艺集成以及半导体制造。合适的申请人画像应为实验电子工程/微电子深度加上器件与公开论文的证据。
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。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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