I'm a research 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 and speech perception.
I'm currently working at Google [X] as an AI Resident, prototyping novel machine learning solutions to intractable real-world problems. Previously, I completed a postdoc at Albert Einstein College of Medicine, where I investigated the neural basis of impaired multisensory processing in children with autism. My dissertation work, conducted at Trinity College Dublin, led to the development of a MATLAB software package (mTRF Toolbox) for decoding stimulus information from neural signals.
You can contact me via email at mickcrosse [at] x [dot] team, or using any of the links below.