Risi Kondor
University of Chicago CS · Associate Professor of Computer Science, Statistics, and Computational and Applied Mathematics
Research focus: machine learning · equivariant neural networks · geometric deep learning · harmonic analysis
手动审核申请准备：请作为等变网络、geometric deep learning、谐波分析、ML-for-physics/化学、或数学上根拠のある科学ML申请人准备。
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.
- Strong fit for theory-oriented applicants in equivariant/geometric deep learning, harmonic analysis, graph/tensor methods, and mathematical ML, with a source-visible current roster and several strong
- 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。
- 适用于理论导向申请人的强匹配：在 equivariant 的 geometric deep learning、harmonic analysis、图/张量模态的 eth 以及数学上的 ML 方面具有显著优势，且拥有来源可见的当前任职名单及多位资深成员的良好历史。
Public evidence as of 2026-06-10
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