Yuxiu Shao is an assistant professor at the School of Systems Science at Beijing Normal University. Before that, Shao was a post-doc researcher at Group for Neural Theory, École Normale Supérieure (ENS, Paris), where she worked with Srdjan Ostojic and the whole incredible ‘LOW-RANK’ team. Before that, she completed her Ph.D. in Computational Neuroscience at Peking University (PKU) in Beijing, China, under the supervision of Louis Tao. 

As a theoretical neuroscientist and artificial intelligence enthusiast, her passion lies in advancing the understanding of biologically constrained network connectivity and neuronal computations. Her research focuses on the intersection of biological and artificial neural networks, with the goal of establishing theoretical frameworks and biologically rational algorithms that can shed light on the structures, dynamics, and relationships between these two domains; as well as identifying neural computational mechanisms that support flexible behaviour using both artificial networks and analytical framework. Through her work, she aims to contribute to a more comprehensive understanding of the brain, and, ultimately, to the development of more effective and biologically inspired network systems.