Colin Raffel is an Associate Professor at the University of Toronto and an Associate Research Director at the Vector Institute. His research in machine learning aims to make it easy to get computers to do new things. Areas of focus in his lab include machine learning algorithms that require little or no labeled data in order to perform a task and systems for collaborative and continual development of machine learning models. He received a PhD in Electrical Engineering from Columbia University in 2016, a Master’s in Music from Stanford University in 2010, and a Bachelor’s in Mathematics from Oberlin College in 2009.