Kevin Nejad
tldr: doing phd in comp.neuro. doing ml projects on the side.
![prof_pic_iceland.jpg](/assets/img/prof_pic_iceland.jpg?7ae7ca9ddb1362adb08bc7e89572b233)
I am interested in understanding the computations performed by neocortical microcircuits. Specifically, my research focuses on how superficial and deep neocortical layers jointly learn a model of the world in a self-supervised way. My current project aims to develop a self-supervised model of neocortical microcircuit that explains neural activity in superficial and deep layers in visuomotor tasks. I complement this line of research with work on biologically plausible models of self-supervised multimodal learning and curiosity-based reinforcement learning. I completed my undergraduate degree in Computer Science at King’s College London and a MSc in Computational Applied Mathematics at the University of Edinburgh.