I'm a neural engineer interested in machine learning applications in neuroscience and neurotechnology. My research has focused on neural decoding, audiovisual speech processing, visual and imagined speech representations, selective attention and multisensory processing deficits in autism.
I'm currently an AI Resident at Google [X], prototyping novel machine learning solutions for an early-stage research project. Previously, I completed a postdoc at Albert Einstein College of Medicine in New York, where I investigated the neural basis of impaired multisensory processing in children with autism. As part of my doctoral research at Trinity College Dublin, I developed the mTRF Toolbox: an open-source software package for quantitative modelling of sensory processing.
You can contact me via email at mickcrosse [at] x [dot] team, or using any of the links below.