Alumni

As a Research Assistant in the Digital Music Lab, Michael analyzed global music download trends using Python, R, and SQL. Michael is also involved in research surrounding sentiment analysis, and natural language processing using song lyrics. Prior to working with the Digital Music Lab, Michael examined how voice pitch influences voting behaviour as Research Associate in the Voice Research Lab. His primary research interests involve applying new technology and data science techniques to Psychological research. Michael is also interested in creating online, open-access tools which facilitate research and discovery within digital music behaviours around the world.  Previously, Michael has done a work study with the Behaviour Ecology Lab and is currently the project lead for Stress-Induced Decision Making using Oculus Rift