Computational Science Fun Time

This is repo containing all the work and research of my computational science journey.

Create a conda virtual environment

See here for more on managing conda environments.

To set up a new conda environment for this project, execute the following in any terminal:

Create a virtual environment for this service from the environment.yml file:

conda env create -f environment.yml

Contents

Bayesian Inversion

Notebook containing research and literature on setting up the geophysical inverse problem using Bayesian statistics.

Topics covered:

• Ensemble Kalmen Inversion

Courses

Contains research project work for graduate classes 2022-2023. Topics range from NUmercial mathematics to climate science.

Machine Learning

Notebooks that explore machine learning tools for dta analysis and foundations to learning.

Topics include:

• Gaussian mixture models
• Variation Auto Encoders
• Transformers

PGI

Core research material for my work with Petrophysically Guided Inversion framework. The work is applied to many geophysical surveys with a primary focus on airborne frequency domain geophysics. By using PGI coupled with joint inversions of multiple geophysical survey types, the goal is to produce mroe geologically meaningful geophysical models.