Hunter Lybbert

Hunter Lybbert is a data scientist with extensive experience in machine learning engineering and a strong foundation in applied mathematics and statistics. They have held roles as a Senior Data Scientist and Intermediate Machine Learning Engineer at VideoAmp, where they successfully led projects that resulted in significant financial returns and developed tools for ad spend optimization. Previously, Hunter worked as a Machine Learning Researcher and NLP Research Assistant at Brigham Young University, contributing to innovative projects in wildfire prediction and natural language processing. Currently, they are pursuing a Master of Science in Computational and Applied Mathematics at the University of Washington to further enhance their expertise and professional network.