James GrantSTOR-i Research Associate, PhD student
I am an Impact Research Associate (postdoc) in the STOR-i Center for Doctoral Training. My research focusses on sequential decision making problems with rewards based on complex data. In my PhD I worked on interested in various bandit learning problems with Poisson process feedback - these problems are useful models of problems in surveillance and data collection. Currently, I am investigating the use of sequential decision making techniques in recommender systems and website personalisation.