About | Science With Me

ABOUT ME

I'm from Arkansas and have lived in the state for most of my life. I'm passionate about science, research, and creating opportunities for learners.

After graduating from the Arkansas School for Mathematics, Sciences, & the Arts (ASMSA), I received a bachelor's of science degree in Biology from the University of Arkansas.

In summer of 2025, I completed a PhD in Molecular Biosciences at Arkansas State University with an emphasis in machine learning. My research involves evaluating machine learning approaches to identify possible genetic markers for cancer.

My scientific interests range from artificial intelligence, machine learning, data science, and information theory to quantum mechanics, cosmology, computational chemistry and biology, and more. I'm also super interested in linguistics and language, place-based culture, and plants.

I love to cook, eat good food, and drink good wine. I really enjoy spending time outdoors, especially hiking, biking, paddling, and floating. I try to work hard so I can play hard, and spend all my extra money on books and traveling.

Quick disclaimer - everything on this site reflects my thoughts and opinions, and not my employer or other affiliated organizations.

Learn data science with me! Check out my channel at the YouTube button below.

My channel features video series walking through different projects that I've done in Python and R, and sometimes I invite guests to walk through their projects.
Every video series is intended for people with no experience in coding, and there are supplementary videos that go over the various tools and technologies that are commonly used in data science and machine learning.
Each video series has a Github repository with all the files you need to follow along and complete your own version of the project.

ABOUT ME

Learn data science with me! Check out my channel at the YouTube button below.

My channel features video series walking through different projects that I've done in Python and R, and sometimes I invite guests to walk through their projects.

Every video series is intended for people with no experience in coding, and there are supplementary videos that go over the various tools and technologies that are commonly used in data science and machine learning.

Each video series has a Github repository with all the files you need to follow along and complete your own version of the project.