I am interested in theories of deep learning that can help explain the effectiveness of neural nets. I want to learn more about the geometry of the loss surface and how signals propagate through a neural net. When studying math as an undergraduate at Harvard, I researched random matrices and am excited to see them appear in the theory of neural networks.