Dr. Ling Liang is an Assistant Professor in the Department of Mathematics at the University of Tennessee, Knoxville. His research lies at the intersection of applied and computational mathematics, optimization, and machine learning. He is particularly interested in developing efficient and scalable algorithms for solving large-scale optimization problems that arise in data science, engineering, and the physical sciences. His recent work focuses on structure-exploiting methods for convex and nonconvex optimization, learning-based optimization algorithms, and optimal experimental design.

Dr. Liang’s teaching philosophy emphasizes mathematical rigor, computational thinking, and real-world relevance. He is committed to fostering an inclusive learning environment where students engage deeply with mathematical ideas through both theory and application. He often integrates modern tools and data-driven examples into his teaching to prepare students for interdisciplinary research and industry careers.

In addition to his research and teaching, Dr. Liang is dedicated to mentoring students at all levels and collaborating across disciplines to address pressing scientific and technological challenges through mathematical innovation.