Development of deep learning models to improve the understanding of neuromodulation devices in epileptic patients. 

In collaboration with the Brain Modulation Lab, MGH-Harvard

Peterson, V., Kokkinos, V., Ferrante, E., Walton, A., Merk, T., Hadanny, A., ... & Richardson, R. M. (2023). Deep net detection and onset prediction of electrographic seizure patterns in responsive neurostimulation. Epilepsia. https://doi.org/10.1111/epi.17666 

iESPnet implementation: GitHub Repo

R61-NIH: Electrographic Seizure Pattern Modulation Biomarkers in Responsive Neurostimulation for Epilepsy

Principal Investigator: R. Mark Richardson, MD, PhD, Neurosurgery Faculty, Harvard Medical School

Participation: co-investigator