Tom Griffiths
Princeton CS · Professor of Psychology and Computer Science; Henry R. Luce Professor of Information Technology, Consciousness and Culture
Research focus: computational cognitive science · machine learning · human-AI interaction · Bayesian models
针对 Tom Griffiths 的预审审核：请首先提出一个将 AI 的行为与人类认知相联系的科研问题；纯模型工程并非足够的解决方案。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: computational cognitive science · machine learning).
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Applicants should demonstrate computational cognitive science depth: Bayesian/resource-rational modeling, human-AI experiments, LLM/cognition links, RL/planning, and the ability to connect formal mode
- 你想把 ML 接到真实数据与落地问题（当前信号：computational cognitive science · machine learning）。
- 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。
- 申请人应展现出 computational cognitive science 级别的深度：基于贝叶斯和资源理性建模、AI 的人类实验、LLM/认知关联、RL/规划能力，以及将形式模型与行为证据进行连接的能力。
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
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
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.