Selected research and academic projects.
Course Project — STA 561D: Probabilistic Machine Learning
An interactive chess tutoring system combining Maia-2 (human-like move prediction) with Elo-adaptive coaching, position evaluation, and a regret-and-retry mechanism.
Course Project — STA 663L: Statistical Computing
Examined Bayesian sampler behavior under Monte Carlo uncertainty, studied scaling properties, and designed geometry-based stress tests across challenging distributional settings.
Undergraduate Research — UW–Madison Department of Mathematics
Investigated Kakeya maximal inequalities through numerical study and mathematical visualization, resulting in a department presentation and poster.
Course Project — COMPSCI 675D / ECE 685D: Introduction to Deep Learning
Studies equivariant linear factor models and autoencoders under orthogonal symmetry, with applications to D4-equivariant autoencoders on MNIST.