My research focuses on the role of oscillatory synchronization in sensory processing. In my dissertation, I studied the effects of attention on vision and memory by applying machine learning techniques and functional connectivity analysis to fMRI and EEG data. In my current position, I implement spiking neural network models for few-shot odor learning with PyTorch.