I'm a neural engineer interested in machine learning applications in neuroscience and neurotechnology. My research has focused on neural decoding, audiovisual speech processing, auditory attention and multisensory deficits in autism.
I'm currently an AI Resident at Google [X], prototyping novel machine learning solutions for early-stage research projects. 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 modelling multivariate stimulus-response data.
You can contact me via email at mickcrosse [at] gmail [dot] com, or using any of the links below.