About me

I’m a third year PhD student in Northeastern University’s Probabilistic Modeling Group. I also work with the Cognitive Systems Lab on deep learning for augmentative and assistive communication using EEG. I’m currently interning at Mitsubishi Electric Research Laboratories, working on deep transfer learning for biosignal data. One of my long term research interests is to apply generative modeling to the analysis of raw signal data from neurons in invasive recordings. Check out my recent work in the NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, where we show that cutting initial layers of a generative signal prior at test time greatly improves image recovery performance for compressed sensing.