756 W Peachtree St
Atlanta, GA 30332
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!
|Nov 15, 2023||I gave a virtual talk at the optimization in Oslo (OiO) seminar at Simula. My talk should appear shortly on the OiO Youtube channel.|
|Nov 12, 2023||I attended a workshop on applied and computational math at Caltech and gave a talk on information geometric regularization.|
|Nov 7, 2023||I am attending the workshop on compressible multiphase flows at Stanford and gave a talk on information geometric regularization. Thanks Ali for the invitation!|
|Nov 1, 2023||Start of our grant on untangling computation using games and statistical inference. Thanks for the support, ONR!|
|Oct 12, 2023||Joint work with Jessie, Spencer, Tamer, and Ali on the adjoint macroscopic forcing method now on the arxiv.|
- Sparse Cholesky factorization by Kullback-Leibler minimizationSIAM Journal on Scientific Computing 2021
- Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexityMultiscale Model. Simul. 2021
- Implicit competitive regularization in GANsIn the 37th International Conference on Machine Learning (ICML 2020) 2020
- Competitive gradient descentAdvances in Neural Information Processing Systems 2019
- Sparse recovery of elliptic solvers from matrix-vector productsAccepted in SIAM Journal on Scientific Computing 2023
- Information geometric regularization of the barotropic Euler equation2023