Carlos Fernandez-Granda
NYU — Courant Institute CS + Center for Data Science (CDS) · Associate Professor of Math & DS
Research focus: ML · optimization · deep learning for inverse problems / imaging · ML for science/health
针对 Carlos Fernandez-Granda 的预审审核：构建基于 optimization、rag 的拟合路径，围绕 chi 的机器学习、eth 的逆问题、ML 的数据驱动医学、{{PROTECT_6}} 的科学与图像成像以及 {{PROTECT_7}} 的医学建模进行。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
- Good fit for mathematically grounded ML-for-science applicants; use the roster for advising questions, not placement benchmarking.
- 适合具有数学基础且专注于科学领域的 ML 申请者；请依据推荐名单中的咨询问题，而非使用排名基准。
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
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