Mark A. Kramer, PhD

Professor, Department of Mathematics and Statistics

Boston University, Boston, MA, 02215



We build tools to understand the brain through analysis and modeling of neural data. Topics of our recent work include:

Epilepsy and seizures

What features characterize the dynamics of the seizing human brain?

Brain rhythms

What fundamental principles govern the organization of brain rhythms?

How do we track brain rhythms in real time?

How do we characterize interacting brain rhythms?


We also build educational resources to help make sense of neural data.



  • Case-Studies-Python: Are you a neuroscientist interested in using Python to analyze your data or teach your class? If so, check out this online resource.


  • Example lectures: Example lectures, tutorials, and syllabi available here.