Anna Huang is a Research Scientist at Google Brain, working on the Magenta project. She is also a Canada CIFAR AI Chair at Mila – Québec AI Institute, and an Adjunct Professor at Université de Montréal. Her research focuses on designing generative models and interfaces to support music making and more generally the creative process. Her work is at the intersection of machine learning, human-computer interaction, and music. She is the creator of Music Transformer and Coconet. Coconet was the ML model that powered Google’s first AI Doodle, the Bach Doodle, in two days enabling tens of millions of users around the world to co-compose with ML in their browser. Last year, she was a judge and organizer for the AI Song Contest, and a guest editor for TISMIR’s special issue on AI and Musical Creativity.