Biography
Mathematics, the only hobby which somehow makes you both smarter and stupider at the same time. There is too many things to read and not enough time to do so.
- Probabilistic Machine Learning
- Gaussian Procceses
- Molecular Dynamics Simulation
- Statistical Mechanics
- Mathematical Physics
B.Sc. Major in Computational Physics and Minor in Computer Science, 2023
University of Utah
Masters in Chemical Engineering, Incomplete, 2023 - 2024
University of Utah
PhD in Chemical Engineering, 2024 - Present
University of Minnesota
Publications
My Projects
Enter at your own risk…
Path Integral Molecular Dynamics Tutorial
A tutorial on the theory and implementation of quantum simulation of many body systems.
MNIST Variational Autoencoder
A simple variational autoencoder trained on MNIST. Theory and code included.
Clustering Algorithm Demo
This was a class project I made for CS4964 Computational Geometry. It walks through the theory and code behind 4 popular clustering algorithms.
SOP For Performig BLR in Python
A standard operating procedure for performing Bayesian linear regresssion, in python, from scratch.
Functional Analysis Backing of Quantum Mechanics
These are my typed notes on the mathematics of quantum mechanics. These follow the lectures by Frederic Schuller.
Varational Fluid Mechanics
Some ramblings of mine while trying to study the principle of least action in terms of fluid mechanics.
A Gaussian Process Classifier Made From Scratch, in PyTorch
This explains how to create a GP Classifier with all the theory and code in PyTorch
The Use Of DFT in Catalyst Development
A paper for a course I did in catalyst development and characterization. The class was wholy untheoretical and utterly useless for any computational development. I scratched the itch by making this.