Projects

The topic of my math senior thesis and its Python implementation. Gradient-based optimization over the Stiefel manifold - the set of $k \times n$ orthonormal matrices - using a descent algorithm on the tangent space to minimize arbitrary functions subject to orthogonality constraints.

A neural network library written in C++ with analytical derivative propagation, Eigen-backed linear algebra, and Python bindings via pybind11.