Modern Machine Learning

For the 2026 UCSB Directed Reading Program, I will mentor a reading group studying modern machine learning with a mathematical perspective. We will engage with recent seminal papers across multiple domains, examining common foundational theoretical frameworks and the design principles of fantastic numerical experiments. We will place a particular emphasis on the transformer architecture and demystifying the mathematics of its operation.

My goal is to provide insight into the process of productively reading modern applied math research. Toward this end, we will complete a project at the end of the program to get hands-on experience with the research pipeline, including collaborative discussion and project development.

This program is ideal for students with linear algebra knowledge and some basic coding skills, but the most important requirement is enthusiasm for the subject! Please feel free to reach out with any questions!

Sign Up for the DRP!