I started my PhD in AI and Music at the Queen Mary University of London in the fall of 2021. For my PhD, I am exploring the possibility of mix style transfer using deep learning approaches. Multitrack mixing is a highly technical task of combining recorded stems to create a cohesive and well-balanced mix. This involves treating problems like spectral masking, reducing noise and artefacts and also adding aesthetic and creative processing to the stems to generate well-rounded audio of the song. We want to explore the idea of making use of a reference mix to aid the process of multitrack mixing. This approach is different from previous approaches in the sense that it is more intention driven and enables the client to have more control in specifying what kind of mix they are looking for. To get a more elaborate idea, have a look at the poster presentation I made at DMRN-16 organised by the Centre for Digital Music in December 2021 here.