Sebastian Seung
Princeton CS · Professor
Research focus: connectomics · neuroAI · computational neuroscience · machine learning for neuroscience
针对 Sebastian Seung 的预审审核：请作为 neuroAI 或 connectomics 申请人准备：大型数据基础设施、ML 用于 EM 分割、生物图像分析、computational neuroscience 或协作科学软件应予以可见。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: connectomics · neuroAI).
- Applicants should show neuroAI/connectomics readiness: large-scale data infrastructure, ML for EM segmentation/analysis, computational neuroscience, or biological discovery using wiring diagrams, plus
- 你想把 ML 接到真实数据与落地问题（当前信号：connectomics · neuroAI）。
- 申请人应展示 neuroAI/connectomics级别的准备：大规模数据基础设施、ML用于 EM 分割/分析、computational neuroscience或基于图理的生物学发现，以及协作工程密集型科学的能力。
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
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