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!
|May 1, 2022||Competitive physics informed networks solve PDEs to accuracies previously out of reach for physics informed networks! Joint work with Qi Zeng and Spencer Bryngelson.|
|Apr 19, 2022||I’ll be giving a talk at the UPenn applied mathematics and computational science colloquium on Friday April 22nd.|
|Feb 19, 2022||I will be giving a (virtual) talk at the Stanford Applied Math Seminar on Feb 23.|
|Nov 28, 2021||Joint work with Jeffrey, Alistair, Yuanyuan, and Anima now on the arxiv. We extend competitive gradient descent to arbitrary numbers of agents, prove its local convergence, and show that it learns significantly more performant policies when used for multi-agent reinforcement learning.|
|Oct 26, 2021||Check out Jiawei’s new paper to learn how to initialize residual networks deterministically!|
- 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)
- Competitive Gradient DescentIn Advances in Neural Information Processing Systems 32