High-dimensional probability offers insights into the behavior of large random structures such as random vectors, random graphs, random matrices, and random subspaces to name a few. The core concept in high-dimensional probability is the concentration of measure phenomena. In this project, the students will learn the basic concepts, probabilistic principles, and techniques that arise repeatedly across a broad range of high-dimensional problems. Students who have excellent performance will be invited to continue on the project for more original research.