Dominic Boutet (CV)

Personal info

I am a PhD student at the Baillet Lab. I have a BSc in Neuroscience (Major) and Computer Science (Minor) from McGill University. My main interests relate to computational models of brain systems as tools for performing inference on neural processes and making predictions on healthy vs. diseased brain trajectories. I have special interests in dynamical systems, machine learning, and mental illnesses. Outside of research, I enjoy working out and playing the electric guitar. I am also the TA for NSCI 200, the introductory class in Neuroscience at McGill.

Past and current work

As an undergraduate research intern I worked with brain-scale dynamical network models and MEG resting state data. I focused on model optimization and parameter space exploration to investigate the ability of those models to encapsulate individual-specific spectral features and perform virtual neural fingerprinting. I also worked on a novel parameter space reduction approach to facilitate parameter space exploration in high-dimensions [now out as preprint here]. I am currently investigating the importance of including individual structural connectivity data within dynamical network models to encapsulate the individual-specific features in MEG data.