About Me

About me

Hello! I’m Courtney, a dedicated computational biologist with roots in Baton Rouge, LA, where my journey began. My early fascination with the natural world and a drive to make impactful contributions to science have been the guiding stars of my career.

A Path Forged in Service and Science

My commitment to service led me to the Louisiana Army National Guard, an experience that instilled in me discipline, teamwork, and a resolve to face challenges head-on. These values carried over to my academic pursuits. 

In 2020, I graduated from Southeastern Louisiana University with a Bachelor of Science in Biology, marking the beginning of my deep dive into the complex and fascinating world of genetics. It was here that I truly discovered my passion for programming and the powerful role it plays in decoding the mysteries of biology. This fusion of biology and computational analysis is where I thrive, continually pushing the boundaries of what we know and can achieve.

The quest for knowledge took me west to Arizona State University, where I expanded my horizons and obtained a Master of Science and a certificate in Computational Life Sciences. 

Beyond the Lab

When I’m not immersed in data and code, I’m learning new things, indulging in my love for crafting projects, or spending quality time with my two dogs, Cash and Stella. Whether it’s exploring new programming languages or creating something with my hands, I believe in the joy of discovery and the growth that comes from exploring diverse interests.

A Future Built on Discovery

Today, as I look towards the future, I am excited about the possibilities that lie at the intersection of computational biology and clinical research. I am on a continuous journey of learning, seeking to contribute to advancements that make real differences in people’s lives while nurturing my passions and curiosity.

Thank you for visiting my site and getting to know a bit about me. I’m eager to connect with fellow scientists, enthusiasts, and anyone curious about the potential of computational biology to transform our understanding and treatment of diseases.