I'm a neural engineer interested in how machine learning can be used to emulate information processing in the brain and further our understanding of sensory function, with particular focus on multisensory integration, attention and speech perception.
I'm currently an AI Resident at Google [X], prototyping novel machine learning solutions for an early-stage 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 prt of my doctoral research at Trinity College Dublin, I developed of an open-source system identification library (mTRF Toolbox) for decoding brain responses.
You can contact me via email at mickcrosse [at] x [dot] team, or using any of the links below.