Summary
Xingjian Zhang is a Senior Scientist at Johnson & Johnson Neuroscience with a decade of experience bridging experimental neuroscience and computational modeling. He earned a PhD in Neuroscience from UT Southwestern and completed a four-year postdoc at UCLA where he led projects decoding the computational structure of neural activity during social behaviors using in vivo multi-brain calcium imaging. His work combines behavioral quantification, neural data collection, and development of models that link neural dynamics to social behavior, including comparative studies between animals and AI. Known for translating complex experimental datasets into testable computational hypotheses, he has a track record of leading interdisciplinary teams from experiment design through analysis and manuscript preparation. Based in the United States and trained at Tsinghua University, he brings both deep technical rigor and a global academic perspective to translational neuroscience. An under-the-radar strength is his experience directly comparing biological and artificial social behaviors, positioning him to advance biologically informed AI and neurotechnology.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at UT Southwestern Medical Center
Bachelor's degree, Biological Science, Bachelor's degree, Biological Science at Tsinghua University