Yu Du’s research interest is in large-scale data-driven mathematical optimization. The majority of her research focuses on developing nonlinear optimization algorithms for solving large-scale problems with applications in machine learning and data mining, specifically statistical convex and non-convex optimization problems. Dr. Du has also been working on modeling and solving combinatorial optimization problems. Much of her efforts are concerned with new ways of modeling quadratic binary problems with applications in quantum computing and with designing and testing new algorithms for solving these problems. In recent years, Dr. Du has further expanded his research scope, gradually venturing into cutting-edge areas, including the application of big data analytics in education and the medical field. She is committed to exploring and innovating the use of big data analysis and mathematical optimization methods in these emerging interdisciplinary fields.