Wenqi Gu
Time: Jan 15, 2022

PhD Student

Research Direction: Complex Networks, Computational Neuroscience, Computer Vision

(1) I seek to develop computational tools for reconstructing microscale brain connectome from electron microscopy (EM) brain slice images. These tools hold potential to significantly reduce human labour in both neuron segmentation and synapse identification tasks, thus facilitate scientists’ research in the microstructure and working mechanisms of brains.

(2) I’m also interested in the control theory for complex networks. Establishing proper and efficient control strategies to drive networks from one state to any other desired state is the ultimate goal and I hope the theoretical frameworks we build could be applied to not only solve engineering problems but also build personalized treatment strategies for mental or neurological disorders based on patients’ brain connectome.

PREV : Yingtao Zhang