Chih-Chun Wang

Mathematical physics researcher at LMU Munich

I am a researcher in mathematical physics at LMU Munich, and my own research is in the mathematics of equivariant machine learning. I am applying for PhD positions starting in 2027.

Most of what I do starts from one question: when the data has a symmetry, what does that symmetry force a model to look like? In a recent preprint, I give a complete chcaracterization of all the ways a multi-head self-attention can be equivariant, with a nice description of the parameter space equivariance locus as a Zariski-closed cover by sets indexed by certain equivariant vector bundles.

I also work on some topics in physics (see here).