Florian Schäfer
Warren Weaver Hall 409
251 Mercer Street
New York, NY 10012
I’m Florian Schäfer, assistant professor at the Courant Institute of Mathematical Sciences at New York University.
I received my PhD in applied and computational mathematics at Caltech, working with Houman Owhadi. Before that, I received my Bachelor’s and Master’s degrees in Mathematics at the University of Bonn. You can find a cv here.
My research interests lie at the interface of numerical computation, statistical inference, and competitive games. With my students and collaborators, I have developed state-of-the-art solvers for elliptic PDEs by relating Gaussian elimination to conditional independence, efficient algorithms for multi-agent optimization, and information geometric regularization, the first inviscid regularization of compressible fluid dynamics.
My work has found applications in materials science, turbulence modeling, computer graphics, and computational geometry. Most recently, it has enabled the first compressible fluid simulation to exceed one quadrillion degrees of freedom. This work is a 2025 Gordon Bell Prize finalist.
My current research focus is on developing information geometric mechanics that uses the statistical physical underpinnings of continuum mechanics to design structure preserving numerical methods at the macroscale.
I am currently hiring PhD students and postdocs in this topic. Please have a look here to get an idea. If you have a strong background in computational mathematics, reach out! If you are on the postdoc market, please consider applying for the Faculty Fellow positions.
news
| Apr 15, 2026 | I gave a talk on enabling scalable computation with information geometric regularization at the Michigan Predictive Science Symposium. |
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| Apr 13, 2026 | Congratulations to former group member Shreya Jha for winning an NSF Graduate Research Fellowship! |
| Apr 09, 2026 | I gave a talk in the Scientific Computing Seminar at the Flatiron Institute. Thanks a lot to Alex Barnett for hosting me! |
| Apr 08, 2026 | New preprint on a finite volume implementation of information geometric regularization now on the arXiv! This is a collaboration with Anand, Ben, and Spencer that further explores the numerical method underlying our recent Gordon Bell Finalist Work. |
| Apr 02, 2026 | I’m visiting Princeton University to give a talk on Information Geometric Mechanics at the IDeAS Seminar organized by the Program in Applied and Computational Mathematics. |
selected publications
- Sparse recovery of elliptic solvers from matrix-vector productsSIAM Journal on Scientific Computing, 2024
- Sparse Cholesky factorization by Kullback-Leibler minimizationSIAM Journal on Scientific Computing, 2021