Kai Li
Princeton CS · Paul M. and Marcia R. Wythes Professor
Research focus: ML for systems · privacy preservation for ML · data auditing · computer systems
针对申请文档中的人工审核与准备审计，请确保应用系统 li 的评估符合以下标准：应用系统 Kai Li 应体现以系统为中心的理念，即具备可扩展的架构、隐私与审计能力、受架构影响的 chi 以及基于强工程支持的 ML 系统。
Who this advisor fits / 什么情况下适合你
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Applicants should show systems-first ML taste: scalable infrastructure, privacy/auditing, architecture-aware ML, or computational-neuroscience systems backed by strong engineering.
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 申请阶段应体现以系统为中心的第一性思维：具备可扩展的架构、隐私与审计能力、受 architecture 意识驱动的 ML 系统，或基于强工程能力的计算神经科学系统。
Public evidence as of 2026-06-10
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Ask a verified 学长学姐 / 同校 .edu 认证点评
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