Mark Rhee

I'm a (applied) mathematics student at UC Berkeley with intended minors in computer science and philosophy. My interests lie at the intersection of fields such as math, computer science, physics, and philosophy. I'm particularly interested in the mathematical foundations of machine learning.

CV  /  LinkedIn  /  Github

At Berkeley, I've taken a wide range of classes—mostly whatever I found interesting. You can find a list of all the (cool) classes I've taken so far and my thoughts on them here. I store notes and random musings here. Check it out if you want a peek into my brain.

Projects

	Comparing Learning Dynamics of Gradient Descent and Muon optimizer August 2025 Github Repo Under construction.
	Generalization Capabilities of Neural Network Substructure Ensembles August 2025 Github Repo Showed that ensembles of sparse subnetworks can vastly outperform dense networks while improving out-of-distribution generalization. This work highlights how sparsity and functional redundancy can be leveraged for more robust learning.
	NBA Shot Prediction December 2024 Github Repo Predictive modeling of NBA shot success using features like shot distance and defender proximity. Trained logistic regression and neural networks. Features analysis by training models with individual variables.