SueYeon Chung
Harvard SEAS CS · Assistant Professor of Physics and of Applied Mathematics
Research focus: neuroAI · geometric data analysis · computational neuroscience · representation geometry
手动审核申请准备：以 NeuroAI / 计算神经科学申请人身份，结合 representation geometry、geometric data analysis、neural population analysis 或 ML 理论深度进行准备。
Who this advisor fits / 什么情况下适合你
- You want theory depth and proof/analysis-oriented problem framing.
- Applicants should show mathematically grounded NeuroAI or computational-neuroscience work: representation geometry, neural population analysis, self-supervised or continual learning, and enough neuros
- 你要的是理论深度、证明/分析导向的问题设定。
- 申请人应展示具有数学基础或计算神经科学的 NeuroAI 或 representation geometry 相关工作，包括自监督或持续学习，并具备足够的神经科学与生理学词汇，以在 neural population analysis、Harvard、cs 和 {{PROTECT_5}} 等 {{PROTECT_6}} 背景下协同工作。
What to watch for / 什么情况下要慎重
- You only want fast benchmarks/API hacking, not domain papers or longer experimental loops.
- 你只想做快速 benchmark / API 拼装，不想读领域论文或做长期实验。
Public evidence as of 2026-06-10
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