About me
I am a PhD candidate in the Committee on Computational and Applied Mathematics at the University of Chicago graduating in June 2026.
I am currently on the job market.
cv
Research interests
Deep learning, neural networks, optimization, and more generally analysis of algorithms for data science.
My projects have included:
- Analyzing how neural networks adapt to structure in data when trained with gradient descent
- Depth separation of neural networks in terms of learning capabilities
- Representation costs of deep neural networks
- Effect of linear layers in neural networks
- Eigenvalue methods for multivariate numerical rootfinding