Jack Van Horn
Jack Van Horn

The Brain as a Data Science

I’m Jack Van Horn. MODERN RESEARCH USING magnetic resonance imaging technologies, high-density recording of electrical signals, measurements of brain metabolism, and OTHER ‘BIG DATA’ METHODS ARE NOW THE NORM IN MANY STUDIES OF THE BRAIN. relatING these measurements to cognitive function in health and in disease, the study of the human brain now, more than ever, depends upon A science of data.  rESEARCHERS now collect more brain imaging data on a single subject in one hour than ALL THE DATA someone even 20 years ago might have collected in their career.  To make sense of this flood of brain measurements, integrate them across spatial and temporal scales, couple them to various other -omic datatypes, and turn them into actual scientific discovery, we must construct new databases, employ high-performance computing, develop efficient algorithms, apply novel mathematical tools, AND APPLY THEM BROADLY. BY SO DOING, A GREATER UNDERSTANDING OF THE THING THAT MAKES US MOST HUMAN IS POSSIBLE.  

I believe that the study of the brain is a data science. And vice versa!


Here ARE My Full CV, MY ORCID, My linkedin, and google scholar pages.

 

Submit your original research articles on topics relevant to the

intersection of the brain and data science to Neuroinformatics (Springer-NAture)

 

BE sure to Check out the Foundations of Biomedical Data Science Seminar Series on YouTube!




Students interested in volunteering in the lab, please apply using the URL listed below.




Click on any of the images below to learn more about my work…

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Instruction

At the University of Virginia, I teach “Psych 4420: Brain Mapping with MRI”, “Psych 5500: Applications of magnetic resonance imaging"“, as well as “DS 6012/6013: Data Science Capstone Project Work (1 - 2)”.

Taken collectively, these courses allow me to communicate my excitement about the science of brain imaging and the data science it entails to both undergraduate as well as graduate students.

If you are an upper division student interested in volunteering in the lab, please complete this survey.

We are always interested in possible scientific collaborations, so do get in touch!

 
 
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