Computational neuroscience and neuroengineering; closed-loop neurostimulation; dimensionality reduction; interactive machine learning; explainable AI; neuromorphic computing; data science; neuroethics.
Research interests: Time-frequency analysis of neural data; brain stimulation; machine learning for biological signal processing; cognition.
Co-advised by Thad Starner
Research interests: computer vision; unsupervised learning.
Co-advised by Matthieu Bloch
Research interests: information theory; interactive machine learning.