Research Projects

Here is a list of various neuroengineering topics I've published and/or am currently working on.

PhD Thesis Topics

Automated deep brain stimulation parameter selection 

Calibrating DBS device parameters for each patient can take months of manual work. I'm building a fully automated system that uses AI to optimize device settings for Parkinson's disease based on their effect on neural recordings.

See my runner-up presentation at the DBS Think Tank Rising Stars Junior Investigators Challenge

Brain-wide connectivity and neural effects of cortical stimulation in memory networks

Closed-loop stimulation of the temporal cortex has the potential to restore memory deficits in patients with epilepsy and brain injury. I'm studying which brain regions this stimulation method activates and how it modulates them, to optimize its effectiveness for future patients.

Medial septum optogenetic stimulation for epilepsy treatment and precise hippocampal control

I've used dimensionality reduction techniques to show how irregular stimulation parameters can provide new patterns of control compared to conventional stimulation.

I've also written an in-depth review to describe why and how medial septum DBS would benefit patients with temporal lobe epilepsy.

Computational Collaborations

Detection and modeling of excitatory-inhibitory seizure dynamics with two-photon imaging

Sensory flicker decreases interictal activity in patients with epilepsy

Incorporating safety constraints into optimization algorithms for brain stimulation