Lydia Liu
Princeton CS · Assistant Professor
Research focus: human-AI collaboration · algorithmic decision-making · fairness · AI policy
针对 Lydia Liu 的预审审核：请作为 human-AI collaboration 和福利导向的 ML 申请人准备：algorithmic decision-making、教育背景、fairness 以及长期社会效应应具体而非抽象化。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: human-AI collaboration · algorithmic decision-making).
- Applicants should show mathematical/social-system ML depth plus a concrete human-AI collaboration or education/fairness problem, with attention to intervention rather than prediction alone.
- 你想把 ML 接到真实数据与落地问题（当前信号：human-AI collaboration · algorithmic decision-making）。
- 申请人应展示数学或社会系统层面的 ML 深度，并辅以具体的 human-AI collaboration 或教育/fairness 问题，同时注重干预措施而非单纯预测。
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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