Develop cutting-edge computational tools to accurately characterize shape of anatomical structures using image analysis, pattern recognition and machine learning techinique. 


Human brain is something of an enigma. We use data science technology to visualize the dynamic mapping of  large-scale collaborative work among millions of neurons through multiple brain regions. Network science offers a new window to understand brain and explore the neurobiological mechanisms.


The significant gap between the histological examination and clinical diagnosis suggests that our current symptom based diagnostic criteria do not carve the nature at its joint. We aim to develop personalized diagnosis engine to revolutionize the traditional "one-size-fits-all" approach to the new era of precision medicine.


We are interested to understand how the variations of the genome change the brain development and structure, with the focus on high throughput computational infrastructure to share, analyze, and visualize the information -dense image datasets in a standard manner, across multiple labs.

University of North Carolina at Chapel Hill

Advanced Computational Medicine Laboratory

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