Santiago Aranguri

I am a second year mathematics PhD candidate at New York University (Courant Institute), working with Eric Vanden-Eijnden on diffusion models and Arthur Jacot on the dynamics of SGD. I obtained my B.S. in Mathematics at Stanford University in 2022, where I worked on interacting particle systems with Amir Dembo for my undergraduate thesis. My work focuses on making progress on machine learning by understanding some of its fundamental mechanisms using tools from high-dimensional probability and statistical mechanics. Here is a CV

You can contact me at aranguri [at] nyu [dot] edu

Publication

Untangling planar graphs and curves by staying positive
S. Aranguri, H. Chang, D. Fridman
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms, 211–225.