Welcome to the MELON Research Group

MeLOn Lab explores the intersection of machine learning and optimization, with the goal of developing principled, efficient, and scalable methods for intelligent systems. Our research spans AI for Mathematics, distributed and decentralized learning, efficient training and inference optimization for large language models, as well as optimization theory and signal processing. We are particularly interested in how optimization can improve the efficiency, reliability, and understanding of modern learning systems, and how machine learning can, in turn, help solve challenging mathematical and optimization problems. By combining theoretical foundations with practical system design, we aim to advance both the science of learning and the development of impactful real-world applications.