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

  • My group performed data engineering and data analysis with a dataset from Fingerhut. We also communicated our findings to them, which is contained in a report and slides.

• 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.