Research Areas

Numerical Methods for Approximating Eigenvalues of Matrices

For my senior thesis in applied math, I am researching and implementing numerical methods for approximating EigenValues of matrices. To do this, I am using a Google's Python Notebook environment Google Colaboratory, which is a like Jupyter Notebook, but is completely web based.

This study is driven by the motivation to determine solutions for large matrices, or systems of equations.

Using Google Collab in Coursework

Throughout much of my time at Fresno State, I utilized the power of Python within the scope of a Python Notebook called Google Collaboratory, which is a like Jupyter Notebook, but is completely web based. As implied by its name, this environment is accessible in Google Drive.

Using this environment, I have been able to become familiar with math oriented packages in Python, including but not limited to Sympy, math, and Pandas.

Check out some of my other notebooks.

Programming

Independently from official academic learning, I am taking the time to learn how to code in multiple programming languages.

Most of my knowledge of programming comes from Python and C++, but I am currently learning C#, Java, Javascript, Apps Script, and more.