Nathan Kolling

Nathan Kolling is an Associate Data Scientist at Bugcrowd, where responsibilities include developing Learning-to-Rank models and conducting A/B testing. Prior roles include Deep Learning Research Assistant at Jefferson Lab, focusing on Partial Wave Analysis using various deep learning techniques and data analysis of large datasets. As an AI/ML Engineer at Raft, Nathan worked on semantic search and machine learning pipelines for time series data. Additionally, Nathan served as an Applied Math Research Fellow at the National Science Foundation, concentrating on parameter estimation for ODE systems. Academic qualifications include a Bachelor of Science in Mathematics from Christopher Newport University.