Join us in welcoming Professor Yubei Chen (Computer Science) to GGAM! Chen's research exists at the intersection of computational neuroscience and deep unsupervised learning. His aim is to provide insights into the computational principles governing unsupervised learning in both brains and machines and to reshape our insights into natural signal statistics, a field that explores the structure of and how to model natural signals, like those that help the brain parse out the dimensions of its physical environment.
At UC Davis, he has identified two core missions for his research program. One is to bridge the gap between engineering and science to facilitate advancements in AI. The other is to push the frontier of unsupervised learning in machines with world models built upon sensory, motor and memory representations.