I am interested in using mathematical modeling to explore problems in neuroscience and propose plausible mechanisms underlying biological phenomena that may not be uncovered through experiments. My current work focuses on problems in three main areas (shown below).Click on each box to learn more about our modeling approaches and recent findings.


Neural Network Plasticity

Synaptic Plasticity

Exploring spontaneous activity waves, synaptic plasticity, and cortical development using computational models.
Neural Network Plasticity

Pain Processing Dynamics

Modeling spinal cord dynamics, allodynia, and the circadian and homeostatic modulation of human pain sensitivity.
Pain Processing

Neurological Disease Modeling

Investigating mechanisms underlying epileptic seizures and neuronal degeneration.

I very much enjoy working with undergraduate students, and I have hired several student research assistants to work on many components of these projects! If you are a Middlebury student interested in joining a project, feel free to reach out.

Please note that I typically require students to have taken Differential Equations (MATH 0226) before working with me.