Mo Zhou 周墨

I am broadly interested in the science of AI: understanding the principles that explain the behavior of modern learning systems. A central question motivating my research is: Why do simple algorithms and ideas often work surprisingly well in practice, and what fundamental principles are behind it?

My current research focuses on the mathematical foundations of modern machine learning, especially large-scale overparameterized models. I study how loss landscapes, training dynamics, and optimizer design shape their behavior.