Zhicheng 'George' Sun
About Zhicheng 'George' Sun
Zhicheng 'George' Sun is a Graduate Research Fellow at Yale University, specializing in computational and systems neuroscience. He investigates the circuit mechanisms of animal learning and decision-making, employing optical and electrophysiological techniques.
Work at Yale University
Zhicheng Sun has been a Graduate Research Fellow at Yale University since 2016. In this role, he investigates the circuit mechanisms underlying animal learning and decision-making. His research employs optical and electrophysiological measurement techniques, as well as perturbation methods. Sun's work contributes to a deeper understanding of cognitive behavior in animal models, which is essential for advancing the field of neuroscience.
Education and Expertise
Zhicheng Sun has a strong educational background in neuroscience and biosciences. He earned his Bachelor of Science degree in Biosciences, focusing on Neuroscience and Biophysics, from Fudan University from 2011 to 2014. He furthered his studies at the University of California, Los Angeles, where he achieved a degree in Neuroscience, Molecular and Cell Biology from 2014 to 2015. Sun completed his education at Yale University, obtaining a degree in Systems Neuroscience from 2015 to 2021.
Research Experience at Fudan University
Before joining Yale University, Zhicheng Sun worked as a Research Assistant at Fudan University from 2013 to 2014. During this time, he gained valuable experience in conducting research in Shanghai, China. His role involved supporting various research projects, which laid the foundation for his future endeavors in neuroscience.
Research Experience at UCLA
At the University of California, Los Angeles, Zhicheng Sun served as a Thesis Student from 2014 to 2015. In this capacity, he engaged in research that contributed to his understanding of neuroscience. His experience at UCLA further developed his skills and knowledge in the field, preparing him for advanced research roles.
Current Research Focus
Zhicheng Sun's current research focuses on computational and systems neuroscience, particularly in understanding cognitive behavior through animal models. He utilizes computational modeling and pattern analysis to study animal behavior and neural ensemble activity at a cellular resolution. This approach allows him to investigate the intricate mechanisms of learning and decision-making in animals.