Hello! I am currently a grad student at Oregon State University pursuing my M.S. in Artificial Intelligence. I had started my journey at Sierra Community College in 2015 as a Business major, eventually switching to Accounting, and then Computer Science, and finally transferring to Chico State in the Fall of 2019. While at Chico I completed my B.S. in Mathematics (Statistics focused) and a minor in Computer Science, graduating in May 2022. Following this, I continued my education into grad school where I am currently studying in the field of Artificial Intelligence, and will graduate in June 2024.
Outside of my education I mainly focus on developing skills in machine learning, applying both what I learn in class and on my own. I’ve worked on projects including image classification of brain tumors, stroke prediction using statistical modeling, and regression modeling for predicting food production needs.
During my time at Chico State, I worked at the Center for Healthy Communities as an Undergrad Research Assistant and Community Health Assistant. The main focus of my work had been being the lead programmer on a series of integrated scripts to manage administration and compensation for a multi-site health survey. I have also worked on revising the BNS3 website I built during my research program (see blog post for more information) in order to prepare it for publication.
Currently, I am working as a Graduate Teaching Assistant in the Engineering department. Specifically, in the ENGR+ courses that focus on developing skills for first year engineering majors in the areas of criticial and algorithmic thinking.
Thank you for taking a look at my website and I hope you find something you enjoy!
A brief overview of what I hope to accomplish during my 10 week research internship with the CHC (Center for Healthy Communities). This includes Personal, Academic, and Research Development skills that I aim to learn throughout this experience and how to carry them forward into higher education.
In this project I use TensorFlow and Amazon SageMaker to build, train, and deploy a deep learning model that can accurately classify MRI scans of 4 different types of brain tumors.
In this project I compare the performance of Statistical and Machine Learning models for predicting whether or not a patient will have a stroke on a data set that has a large class imbalance.
In this project I create a Polynomial Regression Model to estimate the necessary global food production to support a given population size. The main goal is estimating the 2050 production necessary to support our population, as this is the year eastimated to approach 10 billion people on Earth.