Tim G. J. Rudner
NYU — Courant Institute CS + Center for Data Science (CDS) · Assistant Professor / Faculty Fellow (CDS)
Research focus: probabilistic ML · Bayesian deep learning · AI safety / trustworthy ML · RL
针对 Tim G. J. Rudner 的预审审核：构建基于概率机器学习、rag 的图模型、chi 的神经网络、Bayesian deep learning、AI 的安全、可信的AI、不确定的ai量化以及AI治理。请提及一项近期论文或项目，并说明您计划在第一个学期启动的具体扩展。
Who this advisor fits / 什么情况下适合你
- Do not treat this as a normal NYU PhD target; keep the row only as retained historical atlas evidence until faculty data is reconciled.
- 请勿将此视为普通纽约大学（NYU）PhD 目标；仅将行保留为ai 的原始历史地图证据，待教职员数据重新对齐后继续。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
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.