Mark A. Kramer, PhD

Associate Professor

Department of Mathematics and Statistics

Boston University, Boston, MA, 0221



We build tools to understand the brain through analysis and modeling of neural data, with particular emphasis on:

Human seizures

What features characterize the multi-scale dynamics of the seizing human brain?

Mathematical and statistical neuroscience

How do we best utilize mathematical and statistical approaches to understand the brain?

Brain networks

What features govern functional network evolution in the brain?

Connecting data and models

How do we rigorously link “expert knowledge” captured in a computational model with observed brain data?

Data analysis

How do we chararacterize observed brain activity?

Neuronal rhythms

What mechanisms pace brain rhythms?

Dynamical systems

What dynamical mechanisms underlie neuronal activity?


How do we develop the skills necessary to make sense of neural data?