Florian Schäfer

prof_pic.jpg

S1317 CODA

756 W Peachtree St

Atlanta, GA 30332

I’m Florian Schäfer, assistant professor in the School of Computational Science and Engineering at Georgia Tech.

Prior to joining Georgia Tech, 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.

My research interests lie at the interface of numerical computation, statistical inference, and competitive games. To learn more, have a look at these high-level summaries or the defense of my thesis.

I am currently hiring PhD students. If you have a strong background in computational mathematics and the above seems interesting (or you have a project in mind that I might find interesting), feel free to reach out!

news

Oct 20, 2024 I am attending SIAM MDS this week here in Atlanta. Andreas Robertson and I are organizing a minisymposium on (higher order) stochastic models in materials science and spatial statistics.
Also check out the presentations by Stephen, Qi, Christian, and Shreya!
Oct 14, 2024 I gave a talk in the Level-Set Seminar at UCLA on information geometric mechanics.
Sep 20, 2024 Joint work with Jessie Liu, Spencer Bryngelson, Tamer Zaki, and Ali Mani on targeted data-driven closure modeling published in Physical Review Fluids.
Sep 16, 2024 I gave a talk in the PSU-Purdue-UMD Joint Seminar on Mathematical Data Science on information geometric mechanics. Thanks to John Harlim for inviting me!
Aug 15, 2024 New paper connecting Möbius inversion to bootstrap bias correction now on the arxiv! It derives new nonasymptotic bounds on bootstrap bias correction by understanding the combinatorial properties of the resampling operator.

selected publications

  1. Information geometric regularization of the barotropic Euler equation
    Ruijia Cao, and Florian Schäfer
    2023
  2. Sparse recovery of elliptic solvers from matrix-vector products
    Florian Schäfer, and Houman Owhadi
    SIAM Journal on Scientific Computing 2024
  3. Sparse Cholesky factorization by Kullback-Leibler minimization
    Florian Schäfer, Matthias Katzfuss, and Houman Owhadi
    SIAM Journal on Scientific Computing 2021
  4. Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity
    Florian Schäfer, T. J. Sullivan, and Houman Owhadi
    Multiscale Model. Simul. 2021
  5. Competitive gradient descent
    Florian Schäfer, and Anima Anandkumar
    Advances in Neural Information Processing Systems 2019