Braxton Owens

Braxton Owens is a PhD candidate and research assistant at Brigham Young University with an undergraduate degree in physics. He specializes in computational methods to identify macromolecular complexes in bacteria.

Braxton’s research experience includes work in machine learning and computer vision. At Centauri, a defense contracting company, he worked on computer vision for satellite imagery. He also spent several years applying machine learning techniques in materials science, discovering the nature of grain boundaries.

His technical skills include coding in Python and using technologies such as PyTorch, NumPy, and JAX for machine learning. He is experienced with linear algebra for predictive modeling and is proficient in GNU/Linux and high-performance computing.

Outside of his professional work, Braxton is a father of three boys and enjoys snowboarding, contributing to open source projects, and learning new things.