High-dimensional statistics is the field of statistics that deals with data sets where the number of variables is large, often larger than the number of observations, posing unique challenges and opportunities for analysis and inference. It focuses on developing methods that can efficiently handle, analyze, and draw reliable conclusions from such high-dimensional data, often leveraging techniques from machine learning and optimization.