Shaocong Ma

Shaocong Ma is a postdoctoral associate at the University of Maryland Institute for Advanced Computer Studies (UMIACS) working with Heng Huang. His research focuses on optimization techniques that tackle real-world challenges in areas such as multi-agent reinforcement learning and physics-informed machine learning. Ma emphasizes the creation of data-efficient and environment-robust algorithms, ensuring they are supported by solid theoretical guarantees.