Optimization and Trustworthy Machine Learning (OPTML) Group

The Optimization and Trustworthy Machine Learning (OPTML) group at Michigan State University is a lab founded by Sijia Liu in the Department of Computer Science and Engineering to advance trustworthy and scalable AI. The group integrates optimization theory with modern deep learning to study topics such as machine learning and deep learning, computer vision, security and signal processing, with a strong emphasis on robust and explainable AI and machine unlearning for large language and vision models. OPTML members publish extensively in top venues like NeurIPS, ICML, ICLR, CVPR and ECCV, and the lab is well funded by federal agencies and industry partners including the National Science Foundation, the U.S. Department of Energy, Open Philanthropy, DSO National Laboratories, Cisco, IBM and Amazon.