Sijia Liu

Affiliated Professor

Sijia Liu is an assistant professor at the CSE department of Michigan State University, an affiliated professor at IBM Research, and an MIT-IBM Watson AI Lab affiliated PI. He received the PhD (with All-University Doctoral Prize) in electrical and computer engineering from Syracuse University. He was a postdoctoral research fellow at the University of Michigan from 2016-2017, and a research staff member at the MIT-IBM Watson AI Lab in 2018-2020. His research interests include scalable and trustworthy AI, e.g. scalable optimization for deep models, machine unlearning for vision and language models, AI robustness, and data-model efficiency.