About me

I am a Research Machine Learning Scientist II at Layer 6. I earned my Ph.D. in Mathematics at the University of Michigan in 2025, where I studied mathematical physics and black hole formation. My advisor was Lydia Bieri.

Research interests:

• Causal inference & machine learning
• Tabular foundation models
• Partial differential equations (specifically hyperbolic systems)
• Mathematical general relativity (specifically singularity/trapped surface formation)

I was the co-chair of the Midwest Research Experience for Graduates (MREG) 2023, a two-week summer program hosted at the University of Michigan for early-stage graduate students in pure & applied mathematics. We’re currently in the process of designing a more sustainable funding model for future MREGs!

During my Ph.D., I worked on data science, data analysis, and data visualization problems for local Michigan non-profits through the Ginsberg Center and CTAC.