AscentStats focuses on software development, data analytics, and probabilistic data modeling for climbing data. Our goal is to transform the way climbing performance is analyzed, measured, and improved through the application of advanced research and modern methodologies.

Professor Alexei Drummond is founder of AscentStats. With a strong background in computational science and a passion for rock climbing, he is developing statistical inference methodologies for climbing analytics. His research includes the paper “Bayesian inference of the climbing grade scale,” which explores the scaling laws of climbing grades. Through AscentStats, Drummond is committed to advancing the field of climbing analytics by providing innovative tools, methodologies, and insights to benefit climbers of all levels.