Andrew Gordon Wilson
NYU — Courant Institute CS + Center for Data Science (CDS) · Associate Professor of CS & DS
Research focus: Bayesian deep learning · Gaussian processes · generalization · ML for science
针对 Andrew Gordon Wilson 的预审审核：构建基于 Bayesian deep learning、Gaussian processes、generalization 理论、不确定性、尺度律科学以及 ML for science 的拟合参数图；请提及一个近期论文或项目，并说明您计划在第一个学期启动的一个具体扩展。
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.
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Very strong target for mathematically deep ML applicants, especially those who can connect theory, uncertainty, linear algebra, and foundation-model science.
- 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。
- 工业研究或创业/转化路径对你有吸引力（公开去向里占比不低）。
- 非常适合作为深数学背景且具备理论、不确定性、线性代数及基础模型科学能力的申请人。
What to watch for / 什么情况下要慎重
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你把「教职为唯一目标」且完全不想碰工业/转化网络。
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.