My reseach is in the field of machine learning and applied mathematics and specifically in their intersection. I am very fortunate to be supported by the NSF Graduate Research Fellowship (NSF GRFP).
Before my PhD I was studying (pure) mathematics at UCLA with interest in analysis. I recieved my BS and MA concurrently from UCLA under the Departmental Scholar Program.
Some of my research interests are:
- Statisitcal learning theory and generalization of machine learning methods
- Information geometry
- Deep generaitve models
- Graph neural networks
- Normalization methods in deep learning
7630 Math Sciences