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