Graduate Course Projects (UW)
AMATH 590: Topics in Random Matrix Theory and High Dimensional Probability
- I discussed a paper that used random matrix theory to study polynomial graph neural networks. Here is the slide deck. Here is the report.
Undergraduate Course Projects (UCLA)
MATH 42: Introduction to Data-Driven Mathematical Modeling: Life, the Universe, and Everything
- My group worked on the 2021 MCM Project A (Fungus). Here is our report.
MATH 148: Experience of Data Science
MATH 168: Introduction to Networks
- My group worked on a disease-protein-document network analysis. Here is our report, repository, and slides.
STAT 147: Data Technologies for Data Scientists
- I gave a brief overview of federated learning, its applications, and recent advances in the field with this slide deck.
STAT 184: Societal Impacts of Data
- I wrote a brief report surveying methods addressing sample selection bias.
